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BT 34.016 768.351 Td /F1 24.0 Tf [(Foundational And Applied Statistics For Biologists Using R)] TJ ET
BT 34.016 722.689 Td /F1 12.0 Tf [(Yeah, reviewing a book )] TJ ET
BT 162.080 722.689 Td /F1 12.0 Tf [(Foundational And Applied Statistics For Biologists Using R)] TJ ET
BT 472.868 722.689 Td /F1 12.0 Tf [( could go to your close connections listings. This is just one of the solutions for you to be successful. As understood, expertise )] TJ ET
BT 34.016 708.037 Td /F1 12.0 Tf [(does not recommend that you have extraordinary points. )] TJ ET
BT 34.016 678.985 Td /F1 12.0 Tf [(Comprehending as with ease as conformity even more than further will pay for each success. neighboring to, the statement as without difficulty as acuteness of this Foundational And Applied Statistics For )] TJ ET
BT 34.016 664.333 Td /F1 12.0 Tf [(Biologists Using R can be taken as with ease as picked to act.)] TJ ET
BT 34.016 611.281 Td /F1 12.0 Tf [(Design and Analysis of Vaccine Studies)] TJ ET
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34.016 609.301 m 245.444 609.301 l S
BT 245.444 611.281 Td /F1 12.0 Tf [( M. Elizabeth Halloran 2009-10-27 As well as being a reference for the design, analysis, and interpretation of vaccine studies, the text covers all design and analysis )] TJ ET
BT 34.016 596.629 Td /F1 12.0 Tf [(stages, from vaccine development to post-licensure surveillance, presenting likelihood, frequentists, and Bayesian approaches.)] TJ ET
BT 34.016 581.977 Td /F1 12.0 Tf [(Statistical Methods in Biology)] TJ ET
BT 190.076 581.977 Td /F1 12.0 Tf [( S.J. Welham 2014-08-22 Written in simple language with relevant examples, Statistical Methods in Biology: Design and Analysis of Experiments and Regression is a practical and )] TJ ET
BT 34.016 567.325 Td /F1 12.0 Tf [(illustrative guide to the design of experiments and data analysis in the biological and agricultural sciences. The book presents statistical ideas in the context of biological and agricultural scien)] TJ ET
BT 34.016 552.673 Td /F1 12.0 Tf [(The Behavioral and Social Sciences)] TJ ET
BT 226.100 552.673 Td /F1 12.0 Tf [( National Research Council 1988-02-01 This volume explores the scientific frontiers and leading edges of research across the fields of anthropology, economics, political )] TJ ET
BT 34.016 538.021 Td /F1 12.0 Tf [(science, psychology, sociology, history, business, education, geography, law, and psychiatry, as well as the newer, more specialized areas of artificial intelligence, child development, cognitive science, )] TJ ET
BT 34.016 523.369 Td /F1 12.0 Tf [(communications, demography, linguistics, and management and decision science. It includes recommendations concerning new resources, facilities, and programs that may be needed over the next several )] TJ ET
BT 34.016 508.717 Td /F1 12.0 Tf [(years to ensure rapid progress and provide a high level of returns to basic research.)] TJ ET
BT 34.016 494.065 Td /F1 12.0 Tf [(Fundamentals of Biostatistics)] TJ ET
BT 190.076 494.065 Td /F1 12.0 Tf [( Bernard Rosner 2015-07-29 Bernard Rosner's FUNDAMENTALS OF BIOSTATISTICS is a practical introduction to the methods, techniques, and computation of statistics with )] TJ ET
BT 34.016 479.413 Td /F1 12.0 Tf [(human subjects. It prepares students for their future courses and careers by introducing the statistical methods most often used in medical literature. Rosner minimizes the amount of mathematical formulation )] TJ ET
BT 34.016 464.761 Td /F1 12.0 Tf [(\(algebra-based\) while still giving complete explanations of all the important concepts. As in previous editions, a major strength of this book is that every new concept is developed systematically through )] TJ ET
BT 34.016 450.109 Td /F1 12.0 Tf [(completely worked out examples from current medical research problems. Most methods are illustrated with specific instructions as to implementation using software either from SAS, Stata, R, Excel or Minitab. )] TJ ET
BT 34.016 435.457 Td /F1 12.0 Tf [(Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.)] TJ ET
BT 34.016 420.805 Td /F1 12.0 Tf [(Applying Quantitative Bias Analysis to Epidemiologic Data)] TJ ET
BT 342.140 420.805 Td /F1 12.0 Tf [( Timothy L. Lash 2011-04-14 Bias analysis quantifies the influence of systematic error on an epidemiology study’s estimate of association. The )] TJ ET
BT 34.016 406.153 Td /F1 12.0 Tf [(fundamental methods of bias analysis in epi- miology have been well described for decades, yet are seldom applied in published presentations of epidemiologic research. More recent advances in bias analysis, )] TJ ET
BT 34.016 391.501 Td /F1 12.0 Tf [(such as probabilistic bias analysis, appear even more rarely. We suspect that there are both supply-side and demand-side explanations for the scarcity of bias analysis. On the demand side, journal reviewers )] TJ ET
BT 34.016 376.849 Td /F1 12.0 Tf [(and editors seldom request that authors address systematic error aside from listing them as limitations of their particular study. This listing is often accompanied by explanations for why the limitations should not )] TJ ET
BT 34.016 362.197 Td /F1 12.0 Tf [(pose much concern. On the supply side, methods for bias analysis receive little attention in most epidemiology curriculums, are often scattered throughout textbooks or absent from them altogether, and cannot )] TJ ET
BT 34.016 347.545 Td /F1 12.0 Tf [(be implemented easily using standard statistical computing software. Our objective in this text is to reduce these supply-side barriers, with the hope that demand for quantitative bias analysis will follow.)] TJ ET
BT 34.016 332.893 Td /F1 12.0 Tf [(Modern Statistics for Modern Biology)] TJ ET
BT 230.084 332.893 Td /F1 12.0 Tf [( Susan Holmes 2018-11-30 A far-reaching course in practical advanced statistics for biologists using R/Bioconductor, data exploration, and simulation.)] TJ ET
BT 34.016 318.241 Td /F1 12.0 Tf [(Mathematical and Statistical Methods for Genetic Analysis)] TJ ET
BT 342.800 318.241 Td /F1 12.0 Tf [( Kenneth Lange 2012-12-06 Written to equip students in the mathematical siences to understand and model the epidemiological and experimental data )] TJ ET
BT 34.016 303.589 Td /F1 12.0 Tf [(encountered in genetics research. This second edition expands the original edition by over 100 pages and includes new material. Sprinkled throughout the chapters are many new problems.)] TJ ET
BT 34.016 288.937 Td /F1 12.0 Tf [(A Handbook of Statistical Analyses using R)] TJ ET
BT 264.116 288.937 Td /F1 12.0 Tf [( Torsten Hothorn 2014-05-30 Like the best-selling first two editions, A Handbook of Statistical Analyses using R, Third Edition provides an up-to-date guide to data )] TJ ET
BT 34.016 274.285 Td /F1 12.0 Tf [(analysis using the R system for statistical computing. The book explains how to conduct a range of statistical analyses, from simple inference to recursive partitioning to cluster analysis.New to the Third Edition)] TJ ET
BT 34.016 259.633 Td /F1 12.0 Tf [(Foundational and Applied Statistics for Biologists Using R)] TJ ET
BT 339.476 259.633 Td /F1 12.0 Tf [( Ken A. Aho 2016-03-09 Full of biological applications, exercises, and interactive graphical examples, Foundational and Applied Statistics for Biologists )] TJ ET
BT 34.016 244.981 Td /F1 12.0 Tf [(Using R presents comprehensive coverage of both modern analytical methods and statistical foundations. The author harnesses the inherent properties of the R environment to enable students to examine the )] TJ ET
BT 34.016 230.329 Td /F1 12.0 Tf [(code of complica)] TJ ET
BT 34.016 215.677 Td /F1 12.0 Tf [(Multivariate Analysis of Ecological Data)] TJ ET
BT 243.416 215.677 Td /F1 12.0 Tf [( Michael Greenacre 2014-01-09 La diversidad biológica es fruto de la interacción entre numerosas especies, ya sean marinas, vegetales o animales, a la par que de los )] TJ ET
BT 34.016 201.025 Td /F1 12.0 Tf [(muchos factores limitantes que caracterizan el medio que habitan. El análisis multivariante utiliza las relaciones entre diferentes variables para ordenar los objetos de estudio según sus propiedades colectivas y )] TJ ET
BT 34.016 186.373 Td /F1 12.0 Tf [(luego clasificarlos; es decir, agrupar especies o ecosistemas en distintas clases compuestas cada una por entidades con propiedades parecidas. El fin último es relacionar la variabilidad biológica observada con )] TJ ET
BT 34.016 171.721 Td /F1 12.0 Tf [(las correspondientes características medioambientales. Multivariate Analysis of Ecological Data explica de manera completa y estructurada cómo analizar e interpretar los datos ecológicos observados sobre )] TJ ET
BT 34.016 157.069 Td /F1 12.0 Tf [(múltiples variables, tanto biológicos como medioambientales. Tras una introducción general a los datos ecológicos multivariantes y la metodología estadística, se abordan en capítulos específicos, métodos )] TJ ET
BT 34.016 142.417 Td /F1 12.0 Tf [(como aglomeración \(clustering\), regresión, biplots, escalado multidimensional, análisis de correspondencias \(simple y canónico\) y análisis log-ratio, con atención también a sus problemas de modelado y )] TJ ET
BT 34.016 127.765 Td /F1 12.0 Tf [(aspectos inferenciales. El libro plantea una serie de aplicaciones a datos reales derivados de investigaciones ecológicas, además de dos casos detallados que llevan al lector a apreciar los retos de análisis, )] TJ ET
BT 34.016 113.113 Td /F1 12.0 Tf [(interpretación y comunicación inherentes a los estudios a gran escala y los diseños complejos.)] TJ ET
BT 34.016 98.461 Td /F1 12.0 Tf [(Exploring the Biological Contributions to Human Health)] TJ ET
BT 326.132 98.461 Td /F1 12.0 Tf [( Institute of Medicine 2001-07-02 It's obvious why only men develop prostate cancer and why only women get ovarian cancer. But it is not obvious why )] TJ ET
BT 34.016 83.809 Td /F1 12.0 Tf [(women are more likely to recover language ability after a stroke than men or why women are more apt to develop autoimmune diseases such as lupus. Sex differences in health throughout the lifespan have )] TJ ET
BT 34.016 69.157 Td /F1 12.0 Tf [(been documented. Exploring the Biological Contributions to Human Health begins to snap the pieces of the puzzle into place so that this knowledge can be used to improve health for both sexes. From behavior )] TJ ET
BT 34.016 54.505 Td /F1 12.0 Tf [(and cognition to metabolism and response to chemicals and infectious organisms, this book explores the health impact of sex \(being male or female, according to reproductive organs and chromosomes\) and )] TJ ET
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BT 34.016 796.153 Td /F1 12.0 Tf [(gender \(one's sense of self as male or female in society\). Exploring the Biological Contributions to Human Health discusses basic biochemical differences in the cells of males and females and health variability )] TJ ET
BT 34.016 781.501 Td /F1 12.0 Tf [(between the sexes from conception throughout life. The book identifies key research needs and opportunities and addresses barriers to research. Exploring the Biological Contributions to Human Health will be )] TJ ET
BT 34.016 766.849 Td /F1 12.0 Tf [(important to health policy makers, basic, applied, and clinical researchers, educators, providers, and journalists-while being very accessible to interested lay readers.)] TJ ET
BT 34.016 752.197 Td /F1 12.0 Tf [(Statistics for Biologists)] TJ ET
BT 154.052 752.197 Td /F1 12.0 Tf [( Campbell 1967-11-02 )] TJ ET
BT 34.016 737.545 Td /F1 12.0 Tf [(Biostatistics)] TJ ET
BT 97.364 737.545 Td /F1 12.0 Tf [( Wayne W. Daniel 2018-11-13 The ability to analyze and interpret enormous amounts of data has become a prerequisite for success in allied healthcare and the health sciences. Now in its 11th )] TJ ET
BT 34.016 722.893 Td /F1 12.0 Tf [(edition, Biostatistics: A Foundation for Analysis in the Health Sciences continues to offer in-depth guidance toward biostatistical concepts, techniques, and practical applications in the modern healthcare setting. )] TJ ET
BT 34.016 708.241 Td /F1 12.0 Tf [(Comprehensive in scope yet detailed in coverage, this text helps students understand—and appropriately use—probability distributions, sampling distributions, estimation, hypothesis testing, variance analysis, )] TJ ET
BT 34.016 693.589 Td /F1 12.0 Tf [(regression, correlation analysis, and other statistical tools fundamental to the science and practice of medicine. Clearly-defined pedagogical tools help students stay up-to-date on new material, and an emphasis )] TJ ET
BT 34.016 678.937 Td /F1 12.0 Tf [(on statistical software allows faster, more accurate calculation while putting the focus on the underlying concepts rather than the math. Students develop highly relevant skills in inferential and differential )] TJ ET
BT 34.016 664.285 Td /F1 12.0 Tf [(statistical techniques, equipping them with the ability to organize, summarize, and interpret large bodies of data. Suitable for both graduate and advanced undergraduate coursework, this text retains the rigor )] TJ ET
BT 34.016 649.633 Td /F1 12.0 Tf [(required for use as a professional reference.)] TJ ET
BT 34.016 634.981 Td /F1 12.0 Tf [(Quantifying Life)] TJ ET
0.24 w 0 J [ ] 0 d
34.016 633.001 m 117.392 633.001 l S
BT 117.392 634.981 Td /F1 12.0 Tf [( Dmitry A. Kondrashov 2016-08-04 Since the time of Isaac Newton, physicists have used mathematics to describe the behavior of matter of all sizes, from subatomic particles to galaxies. In the )] TJ ET
BT 34.016 620.329 Td /F1 12.0 Tf [(past three decades, as advances in molecular biology have produced an avalanche of data, computational and mathematical techniques have also become necessary tools in the arsenal of biologists. But while )] TJ ET
BT 34.016 605.677 Td /F1 12.0 Tf [(quantitative approaches are now providing fundamental insights into biological systems, the college curriculum for biologists has not caught up, and most biology majors are never exposed to the computational )] TJ ET
BT 34.016 591.025 Td /F1 12.0 Tf [(and probabilistic mathematical approaches that dominate in biological research. With Quantifying Life, Dmitry A. Kondrashov offers an accessible introduction to the breadth of mathematical modeling used in )] TJ ET
BT 34.016 576.373 Td /F1 12.0 Tf [(biology today. Assuming only a foundation in high school mathematics, Quantifying Life takes an innovative computational approach to developing mathematical skills and intuition. Through lessons illustrated )] TJ ET
BT 34.016 561.721 Td /F1 12.0 Tf [(with copious examples, mathematical and programming exercises, literature discussion questions, and computational projects of various degrees of difficulty, students build and analyze models based on current )] TJ ET
BT 34.016 547.069 Td /F1 12.0 Tf [(research papers and learn to implement them in the R programming language. This interplay of mathematical ideas, systematically developed programming skills, and a broad selection of biological research )] TJ ET
BT 34.016 532.417 Td /F1 12.0 Tf [(topics makes Quantifying Life an invaluable guide for seasoned life scientists and the next generation of biologists alike.)] TJ ET
BT 34.016 517.765 Td /F1 12.0 Tf [(Introduction to Statistical Data Analysis for the Life Sciences)] TJ ET
BT 353.492 517.765 Td /F1 12.0 Tf [( Claus Thorn Ekstrom 2014-11-06 A Hands-On Approach to Teaching Introductory StatisticsExpanded with over 100 more pages, Introduction to )] TJ ET
BT 34.016 503.113 Td /F1 12.0 Tf [(Statistical Data Analysis for the Life Sciences, Second Edition presents the right balance of data examples, statistical theory, and computing to teach introductory statistics to students in the life sciences. This )] TJ ET
BT 34.016 488.461 Td /F1 12.0 Tf [(popular textbook covers the m)] TJ ET
BT 34.016 473.809 Td /F1 12.0 Tf [(Python Programming for Biology)] TJ ET
BT 206.744 473.809 Td /F1 12.0 Tf [( Tim J. Stevens 2015-02-12 Do you have a biological question that could be readily answered by computational techniques, but little experience in programming? Do you want to )] TJ ET
BT 34.016 459.157 Td /F1 12.0 Tf [(learn more about the core techniques used in computational biology and bioinformatics? Written in an accessible style, this guide provides a foundation for both newcomers to computer programming and those )] TJ ET
BT 34.016 444.505 Td /F1 12.0 Tf [(interested in learning more about computational biology. The chapters guide the reader through: a complete beginners' course to programming in Python, with an introduction to computing jargon; descriptions of )] TJ ET
BT 34.016 429.853 Td /F1 12.0 Tf [(core bioinformatics methods with working Python examples; scientific computing techniques, including image analysis, statistics and machine learning. This book also functions as a language reference written in )] TJ ET
BT 34.016 415.201 Td /F1 12.0 Tf [(straightforward English, covering the most common Python language elements and a glossary of computing and biological terms. This title will teach undergraduates, postgraduates and professionals working in )] TJ ET
BT 34.016 400.549 Td /F1 12.0 Tf [(the life sciences how to program with Python, a powerful, flexible and easy-to-use language.)] TJ ET
BT 34.016 385.897 Td /F1 12.0 Tf [(Introduction to Statistics for Biology)] TJ ET
BT 221.432 385.897 Td /F1 12.0 Tf [( Trudy A. Watt 2007-05-17 Even though an understanding of experimental design and statistics is central to modern biology, undergraduate and graduate students studying )] TJ ET
BT 34.016 371.245 Td /F1 12.0 Tf [(biological subjects often lack confidence in their numerical abilities. Allaying the anxieties of students, Introduction to Statistics for Biology, Third Edition provides a painless introduction to the subjec)] TJ ET
BT 34.016 356.593 Td /F1 12.0 Tf [(Principles of Applied Statistics)] TJ ET
BT 194.072 356.593 Td /F1 12.0 Tf [( D. R. Cox 2011-07-28 Applied statistics is more than data analysis, but it is easy to lose sight of the big picture. David Cox and Christl Donnelly distil decades of scientific )] TJ ET
BT 34.016 341.941 Td /F1 12.0 Tf [(experience into usable principles for the successful application of statistics, showing how good statistical strategy shapes every stage of an investigation. As you advance from research or policy question, to )] TJ ET
BT 34.016 327.289 Td /F1 12.0 Tf [(study design, through modelling and interpretation, and finally to meaningful conclusions, this book will be a valuable guide. Over a hundred illustrations from a wide variety of real applications make the )] TJ ET
BT 34.016 312.637 Td /F1 12.0 Tf [(conceptual points concrete, illuminating your path and deepening your understanding. This book is essential reading for anyone who makes extensive use of statistical methods in their work.)] TJ ET
BT 34.016 297.985 Td /F1 12.0 Tf [(Introductory Fisheries Analyses with R)] TJ ET
BT 238.076 297.985 Td /F1 12.0 Tf [( Derek H. Ogle 2018-09-03 A How-To Guide for Conducting Common Fisheries-Related Analyses in R Introductory Fisheries Analyses with R provides detailed instructions )] TJ ET
BT 34.016 283.333 Td /F1 12.0 Tf [(on performing basic fisheries stock assessment analyses in the R environment. Accessible to practicing fisheries scientists as well as advanced undergraduate and graduate students, the book demonstrates the )] TJ ET
BT 34.016 268.681 Td /F1 12.0 Tf [(flexibility and power of R, offers insight into the reproducibility of script-based analyses, and shows how the use of R leads to more efficient and productive work in fisheries science. The first three chapters )] TJ ET
BT 34.016 254.029 Td /F1 12.0 Tf [(present a minimal introduction to the R environment that builds a foundation for the fisheries-specific analyses in the remainder of the book. These chapters help you become familiar with R for basic fisheries )] TJ ET
BT 34.016 239.377 Td /F1 12.0 Tf [(analyses and graphics. Subsequent chapters focus on methods to analyze age comparisons, age-length keys, size structure, weight-length relationships, condition, abundance \(from capture-recapture and )] TJ ET
BT 34.016 224.725 Td /F1 12.0 Tf [(depletion data\), mortality rates, individual growth, and the stock-recruit relationship. The fundamental statistical methods of linear regression, analysis of variance \(ANOVA\), and nonlinear regression are )] TJ ET
BT 34.016 210.073 Td /F1 12.0 Tf [(demonstrated within the contexts of these common fisheries analyses. For each analysis, the author completely explains the R functions and provides sufficient background information so that you can confidently )] TJ ET
BT 34.016 195.421 Td /F1 12.0 Tf [(implement each method. Web Resource The author’s website at http://derekogle.com/IFAR/ includes the data files and R code for each chapter, enabling you to reproduce the results in the book as well as )] TJ ET
BT 34.016 180.769 Td /F1 12.0 Tf [(create your own scripts. The site also offers supplemental code for more advanced analyses and practice exercises for every chapter.)] TJ ET
BT 34.016 166.117 Td /F1 12.0 Tf [(Introductory Statistics with R)] TJ ET
BT 185.396 166.117 Td /F1 12.0 Tf [( Peter Dalgaard 2008-06-27 This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. The main )] TJ ET
BT 34.016 151.465 Td /F1 12.0 Tf [(mode of presentation is via code examples with liberal commenting of the code and the output, from the computational as well as the statistical viewpoint. Brief sections introduce the statistical methods before )] TJ ET
BT 34.016 136.813 Td /F1 12.0 Tf [(they are used. A supplementary R package can be downloaded and contains the data sets. All examples are directly runnable and all graphics in the text are generated from the examples. The statistical )] TJ ET
BT 34.016 122.161 Td /F1 12.0 Tf [(methodology covered includes statistical standard distributions, one- and two-sample tests with continuous data, regression analysis, one-and two-way analysis of variance, regression analysis, analysis of )] TJ ET
BT 34.016 107.509 Td /F1 12.0 Tf [(tabular data, and sample size calculations. In addition, the last four chapters contain introductions to multiple linear regression analysis, linear models in general, logistic regression, and survival analysis.)] TJ ET
BT 34.016 92.857 Td /F1 12.0 Tf [(An Introduction to Statistical Analysis in Research, Optimized Edition)] TJ ET
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BT 398.828 92.857 Td /F1 12.0 Tf [( Kathleen F. Weaver 2017-08-10 Provides well-organized coverage of statistical analysis and applications in biology, kinesiology, and physical )] TJ ET
BT 34.016 78.205 Td /F1 12.0 Tf [(anthropology with comprehensive insights into the techniques and interpretations of R, SPSS®, Excel®, and Numbers® output An Introduction to Statistical Analysis in Research: With Applications in the )] TJ ET
BT 34.016 63.553 Td /F1 12.0 Tf [(Biological and Life Sciences develops a conceptual foundation in statistical analysis while providing readers with opportunities to practice these skills via research-based data sets in biology, kinesiology, and )] TJ ET
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BT 34.016 796.153 Td /F1 12.0 Tf [(physical anthropology. Readers are provided with a detailed introduction and orientation to statistical analysis as well as practical examples to ensure a thorough understanding of the concepts and methodology. )] TJ ET
BT 34.016 781.501 Td /F1 12.0 Tf [(In addition, the book addresses not just the statistical concepts researchers should be familiar with, but also demonstrates their relevance to real-world research questions and how to perform them using easily )] TJ ET
BT 34.016 766.849 Td /F1 12.0 Tf [(available software packages including R, SPSS®, Excel®, and Numbers®. Specific emphasis is on the practical application of statistics in the biological and life sciences, while enhancing reader skills in )] TJ ET
BT 34.016 752.197 Td /F1 12.0 Tf [(identifying the research questions and testable hypotheses, determining the appropriate experimental methodology and statistical analyses, processing data, and reporting the research outcomes. In addition, this )] TJ ET
BT 34.016 737.545 Td /F1 12.0 Tf [(book: • Aims to develop readers’ skills including how to report research outcomes, determine the appropriate experimental methodology and statistical analysis, and identify the needed research questions and )] TJ ET
BT 34.016 722.893 Td /F1 12.0 Tf [(testable hypotheses • Includes pedagogical elements throughout that enhance the overall learning experience including case studies and tutorials, all in an effort to gain full comprehension of designing an )] TJ ET
BT 34.016 708.241 Td /F1 12.0 Tf [(experiment, considering biases and uncontrolled variables, analyzing data, and applying the appropriate statistical application with valid justification • Fills the gap between theoretically driven, mathematically )] TJ ET
BT 34.016 693.589 Td /F1 12.0 Tf [(heavy texts and introductory, step-by-step type books while preparing readers with the programming skills needed to carry out basic statistical tests, build support figures, and interpret the results • Provides a )] TJ ET
BT 34.016 678.937 Td /F1 12.0 Tf [(companion website that features related R, SPSS, Excel, and Numbers data sets, sample PowerPoint® lecture slides, end of the chapter review questions, software video tutorials that highlight basic statistical )] TJ ET
BT 34.016 664.285 Td /F1 12.0 Tf [(concepts, and a student workbook and instructor manual An Introduction to Statistical Analysis in Research: With Applications in the Biological and Life Sciences is an ideal textbook for upper-undergraduate and )] TJ ET
BT 34.016 649.633 Td /F1 12.0 Tf [(graduate-level courses in research methods, biostatistics, statistics, biology, kinesiology, sports science and medicine, health and physical education, medicine, and nutrition. The book is also appropriate as a )] TJ ET
BT 34.016 634.981 Td /F1 12.0 Tf [(reference for researchers and professionals in the fields of anthropology, sports research, sports science, and physical education. KATHLEEN F. WEAVER, PhD, is Associate Dean of Learning, Innovation, and )] TJ ET
BT 34.016 620.329 Td /F1 12.0 Tf [(Teaching and Professor in the Department of Biology at the University of La Verne. The author of numerous journal articles, she received her PhD in Ecology and Evolutionary Biology from the University of )] TJ ET
BT 34.016 605.677 Td /F1 12.0 Tf [(Colorado. VANESSA C. MORALES, BS, is Assistant Director of the Academic Success Center at the University of La Verne. SARAH L. DUNN, PhD, is Associate Professor in the Department of Kinesiology at )] TJ ET
BT 34.016 591.025 Td /F1 12.0 Tf [(the University of La Verne and is Director of Research and Sponsored Programs. She has authored numerous journal articles and received her PhD in Health and Exercise Science from the University of New )] TJ ET
BT 34.016 576.373 Td /F1 12.0 Tf [(South Wales. KANYA GODDE, PhD, is Assistant Professor in the Department of Anthropology and is Director/Chair of Institutional Review Board at the University of La Verne. The author of numerous j)] TJ ET
BT 34.016 561.721 Td /F1 12.0 Tf [(Fundamentals of Mathematical Statistics)] TJ ET
BT 249.428 561.721 Td /F1 12.0 Tf [( S.C. Gupta 2020-09-10 Knowledge updating is a never-ending process and so should be the revision of an effective textbook. The book originally written fifty years ago )] TJ ET
BT 34.016 547.069 Td /F1 12.0 Tf [(has, during the intervening period, been revised and reprinted several times. The authors have, however, been thinking, for the last few years that the book needed not only a thorough revision but rather a )] TJ ET
BT 34.016 532.417 Td /F1 12.0 Tf [(substantial rewriting. They now take great pleasure in presenting to the readers the twelfth, thoroughly revised and enlarged, Golden Jubilee edition of the book. The subject-matter in the entire book has been re-)] TJ ET
BT 34.016 517.765 Td /F1 12.0 Tf [(written in the light of numerous criticisms and suggestions received from the users of the earlier editions in India and abroad. The basis of this revision has been the emergence of new literature on the subject, )] TJ ET
BT 34.016 503.113 Td /F1 12.0 Tf [(the constructive feedback from students and teaching fraternity, as well as those changes that have been made in the syllabi and/or the pattern of examination papers of numerous universities. Knowledge )] TJ ET
BT 34.016 488.461 Td /F1 12.0 Tf [(updating is a never-ending process and so should be the revision of an effective textbook. The book originally written fifty years ago has, during the intervening period, been revised and reprinted several times. )] TJ ET
BT 34.016 473.809 Td /F1 12.0 Tf [(The authors have, however, been thinking, for the last few years that the book needed not only a thorough revision but rather a substantial rewriting. They now take great pleasure in presenting to the readers the )] TJ ET
BT 34.016 459.157 Td /F1 12.0 Tf [(twelfth, thoroughly revised and enlarged, Golden Jubilee edition of the book. The subject-matter in the entire book has been re-written in the light of numerous criticisms and suggestions received from the users )] TJ ET
BT 34.016 444.505 Td /F1 12.0 Tf [(of the earlier editions in India and abroad. The basis of this revision has been the emergence of new literature on the subject, the constructive feedback from students and teaching fraternity, as well as those )] TJ ET
BT 34.016 429.853 Td /F1 12.0 Tf [(changes that have been made in the syllabi and/or the pattern of examination papers of numerous universities. Knowledge updating is a never-ending process and so should be the revision of an effective )] TJ ET
BT 34.016 415.201 Td /F1 12.0 Tf [(textbook. The book originally written fifty years ago has, during the intervening period, been revised and reprinted several times. The authors have, however, been thinking, for the last few years that the book )] TJ ET
BT 34.016 400.549 Td /F1 12.0 Tf [(needed not only a thorough revision but rather a substantial rewriting. They now take great pleasure in presenting to the readers the twelfth, thoroughly revised and enlarged, Golden Jubilee edition of the book. )] TJ ET
BT 34.016 385.897 Td /F1 12.0 Tf [(The subject-matter in the entire book has been re-written in the light of numerous criticisms and suggestions received from the users of the earlier editions in India and abroad. The basis of this revision has been )] TJ ET
BT 34.016 371.245 Td /F1 12.0 Tf [(the emergence of new literature on the subject, the constructive feedback from students and teaching fraternity, as well as those changes that have been made in the syllabi and/or the pattern of examination )] TJ ET
BT 34.016 356.593 Td /F1 12.0 Tf [(papers of numerous universities. Some prominent additions are given below: 1. Variance of Degenerate Random Variable 2. Approximate Expression for Expectation and Variance 3. Lyapounov’s Inequality 4. )] TJ ET
BT 34.016 341.941 Td /F1 12.0 Tf [(Holder’s Inequality 5. Minkowski’s Inequality 6. Double Expectation Rule or Double-E Rule and many others)] TJ ET
BT 34.016 327.289 Td /F1 12.0 Tf [(Statistical Models)] TJ ET
BT 127.376 327.289 Td /F1 12.0 Tf [( David A. Freedman 2009-04-27 This lively and engaging book explains the things you have to know in order to read empirical papers in the social and health sciences, as well as the techniques )] TJ ET
BT 34.016 312.637 Td /F1 12.0 Tf [(you need to build statistical models of your own. The discussion in the book is organized around published studies, as are many of the exercises. Relevant journal articles are reprinted at the back of the book. )] TJ ET
BT 34.016 297.985 Td /F1 12.0 Tf [(Freedman makes a thorough appraisal of the statistical methods in these papers and in a variety of other examples. He illustrates the principles of modelling, and the pitfalls. The discussion shows you how to )] TJ ET
BT 34.016 283.333 Td /F1 12.0 Tf [(think about the critical issues - including the connection \(or lack of it\) between the statistical models and the real phenomena. The book is written for advanced undergraduates and beginning graduate students in )] TJ ET
BT 34.016 268.681 Td /F1 12.0 Tf [(statistics, as well as students and professionals in the social and health sciences.)] TJ ET
BT 34.016 254.029 Td /F1 12.0 Tf [(Statistics for Terrified Biologists)] TJ ET
BT 201.392 254.029 Td /F1 12.0 Tf [( Helmut F. van Emden 2019-07-09 Makes mathematical and statistical analysis understandable to even the least math-minded biology student This unique textbook aims to )] TJ ET
BT 34.016 239.377 Td /F1 12.0 Tf [(demystify statistical formulae for the average biology student. Written in a lively and engaging style, Statistics for Terrified Biologists, 2nd Edition draws on the author’s 30 years of lecturing experience to teach )] TJ ET
BT 34.016 224.725 Td /F1 12.0 Tf [(statistical methods to even the most guarded of biology students. It presents basic methods using straightforward, jargon-free language. Students are taught to use simple formulae and how to interpret what is )] TJ ET
BT 34.016 210.073 Td /F1 12.0 Tf [(being measured with each test and statistic, while at the same time learning to recognize overall patterns and guiding principles. Complemented by simple examples and useful case studies, this is an ideal )] TJ ET
BT 34.016 195.421 Td /F1 12.0 Tf [(statistics resource tool for undergraduate biology and environmental science students who lack confidence in their mathematical abilities. Statistics for Terrified Biologists presents readers with the basic )] TJ ET
BT 34.016 180.769 Td /F1 12.0 Tf [(foundations of parametric statistics, the t-test, analysis of variance, linear regression and chi-square, and guides them to important extensions of these techniques. It introduces them to non-parametric tests, and )] TJ ET
BT 34.016 166.117 Td /F1 12.0 Tf [(includes a checklist of non-parametric methods linked to their parametric counterparts. The book also provides many end-of-chapter summaries and additional exercises to help readers understand and practice )] TJ ET
BT 34.016 151.465 Td /F1 12.0 Tf [(what they’ve learned. Presented in a clear and easy-to-understand style Makes statistics tangible and enjoyable for even the most hesitant student Features multiple formulas to facilitate comprehension Written )] TJ ET
BT 34.016 136.813 Td /F1 12.0 Tf [(by of the foremost entomologists of his generation This second edition of Statistics for Terrified Biologists is an invaluable guide that will be of great benefit to pre-health and biology undergraduate students.)] TJ ET
BT 34.016 122.161 Td /F1 12.0 Tf [(Statistics with R)] TJ ET
BT 118.700 122.161 Td /F1 12.0 Tf [( Robert Stinerock 2018-01-08 The dynamic, student focused textbook provides step-by-step instruction in the use of R and of statistical language as a general research tool. It is ideal for anyone )] TJ ET
BT 34.016 107.509 Td /F1 12.0 Tf [(hoping to: Complete an introductory course in statistics Prepare for more advanced statistical courses Gain the transferable analytical skills needed to interpret research from across the social sciences Learn the )] TJ ET
BT 34.016 92.857 Td /F1 12.0 Tf [(technical skills needed to present data visually Acquire a basic competence in the use of R. The book provides readers with the conceptual foundation to use applied statistical methods in everyday research. )] TJ ET
BT 34.016 78.205 Td /F1 12.0 Tf [(Each statistical method is developed within the context of practical, real-world examples and is supported by carefully developed pedagogy and jargon-free definitions. Theory is introduced as an accessible and )] TJ ET
BT 34.016 63.553 Td /F1 12.0 Tf [(adaptable tool and is always contextualized within the pragmatic context of real research projects and definable research questions. Author Robert Stinerock has also created a wide range of online resources, )] TJ ET
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BT 34.016 796.153 Td /F1 12.0 Tf [(including: R scripts, complete solutions for all exercises, data files for each chapter, video and screen casts, and interactive multiple-choice quizzes.)] TJ ET
BT 34.016 781.501 Td /F1 12.0 Tf [(Learning Statistics with R)] TJ ET
BT 168.728 781.501 Td /F1 12.0 Tf [( Daniel Navarro )] TJ ET
BT 34.016 766.849 Td /F1 12.0 Tf [(High-Dimensional Probability)] TJ ET
0.24 w 0 J [ ] 0 d
34.016 764.869 m 188.048 764.869 l S
BT 188.048 766.849 Td /F1 12.0 Tf [( Roman Vershynin 2018-09-27 An integrated package of powerful probabilistic tools and key applications in modern mathematical data science.)] TJ ET
BT 34.016 752.197 Td /F1 12.0 Tf [(Foundations of Data Science)] TJ ET
0.24 w 0 J [ ] 0 d
34.016 750.217 m 188.096 750.217 l S
BT 188.096 752.197 Td /F1 12.0 Tf [( Avrim Blum 2020-01-23 This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, )] TJ ET
BT 34.016 737.545 Td /F1 12.0 Tf [(and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and )] TJ ET
BT 34.016 722.893 Td /F1 12.0 Tf [(Markov chains, the fundamentals of and important algorithms for machine learning, algorithms and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling )] TJ ET
BT 34.016 708.241 Td /F1 12.0 Tf [(and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic techniques are developed including the law of large numbers, tail inequalities, analysis of random projections, )] TJ ET
BT 34.016 693.589 Td /F1 12.0 Tf [(generalization guarantees in machine learning, and moment methods for analysis of phase transitions in large random graphs. Additionally, important structural and complexity measures are discussed such as )] TJ ET
BT 34.016 678.937 Td /F1 12.0 Tf [(matrix norms and VC-dimension. This book is suitable for both undergraduate and graduate courses in the design and analysis of algorithms for data.)] TJ ET
BT 34.016 664.285 Td /F1 12.0 Tf [(Discovering Statistics Using R)] TJ ET
BT 194.048 664.285 Td /F1 12.0 Tf [( Andy Field 2012-03-07 Lecturers - request an e-inspection copy of this text or contact your local SAGE representative to discuss your course needs. Watch Andy Field's )] TJ ET
BT 34.016 649.633 Td /F1 12.0 Tf [(introductory video to Discovering Statistics Using R Keeping the uniquely humorous and self-deprecating style that has made students across the world fall in love with Andy Field's books, Discovering Statistics )] TJ ET
BT 34.016 634.981 Td /F1 12.0 Tf [(Using R takes students on a journey of statistical discovery using R, a free, flexible and dynamically changing software tool for data analysis that is becoming increasingly popular across the social and )] TJ ET
BT 34.016 620.329 Td /F1 12.0 Tf [(behavioural sciences throughout the world. The journey begins by explaining basic statistical and research concepts before a guided tour of the R software environment. Next you discover the importance of )] TJ ET
BT 34.016 605.677 Td /F1 12.0 Tf [(exploring and graphing data, before moving onto statistical tests that are the foundations of the rest of the book \(for example correlation and regression\). You will then stride confidently into intermediate level )] TJ ET
BT 34.016 591.025 Td /F1 12.0 Tf [(analyses such as ANOVA, before ending your journey with advanced techniques such as MANOVA and multilevel models. Although there is enough theory to help you gain the necessary conceptual )] TJ ET
BT 34.016 576.373 Td /F1 12.0 Tf [(understanding of what you're doing, the emphasis is on applying what you learn to playful and real-world examples that should make the experience more fun than you might expect. Like its sister textbooks, )] TJ ET
BT 34.016 561.721 Td /F1 12.0 Tf [(Discovering Statistics Using R is written in an irreverent style and follows the same ground-breaking structure and pedagogical approach. The core material is augmented by a cast of characters to help the )] TJ ET
BT 34.016 547.069 Td /F1 12.0 Tf [(reader on their way, together with hundreds of examples, self-assessment tests to consolidate knowledge, and additional website material for those wanting to learn more. Given this book's accessibility, fun )] TJ ET
BT 34.016 532.417 Td /F1 12.0 Tf [(spirit, and use of bizarre real-world research it should be essential for anyone wanting to learn about statistics using the freely-available R software.)] TJ ET
BT 34.016 517.765 Td /F1 12.0 Tf [(Statistical Foundations of Data Science)] TJ ET
BT 242.780 517.765 Td /F1 12.0 Tf [( Jianqing Fan 2020-09-21 Statistical Foundations of Data Science gives a thorough introduction to commonly used statistical models, contemporary statistical machine )] TJ ET
BT 34.016 503.113 Td /F1 12.0 Tf [(learning techniques and algorithms, along with their mathematical insights and statistical theories. It aims to serve as a graduate-level textbook and a research monograph on high-dimensional statistics, sparsity )] TJ ET
BT 34.016 488.461 Td /F1 12.0 Tf [(and covariance learning, machine learning, and statistical inference. It includes ample exercises that involve both theoretical studies as well as empirical applications. The book begins with an introduction to the )] TJ ET
BT 34.016 473.809 Td /F1 12.0 Tf [(stylized features of big data and their impacts on statistical analysis. It then introduces multiple linear regression and expands the techniques of model building via nonparametric regression and kernel tricks. It )] TJ ET
BT 34.016 459.157 Td /F1 12.0 Tf [(provides a comprehensive account on sparsity explorations and model selections for multiple regression, generalized linear models, quantile regression, robust regression, hazards regression, among others. )] TJ ET
BT 34.016 444.505 Td /F1 12.0 Tf [(High-dimensional inference is also thoroughly addressed and so is feature screening. The book also provides a comprehensive account on high-dimensional covariance estimation, learning latent factors and )] TJ ET
BT 34.016 429.853 Td /F1 12.0 Tf [(hidden structures, as well as their applications to statistical estimation, inference, prediction and machine learning problems. It also introduces thoroughly statistical machine learning theory and methods for )] TJ ET
BT 34.016 415.201 Td /F1 12.0 Tf [(classification, clustering, and prediction. These include CART, random forests, boosting, support vector machines, clustering algorithms, sparse PCA, and deep learning.)] TJ ET
BT 34.016 400.549 Td /F1 12.0 Tf [(Algebraic and Discrete Mathematical Methods for Modern Biology)] TJ ET
BT 382.808 400.549 Td /F1 12.0 Tf [( Raina Robeva 2015-05-09 Written by experts in both mathematics and biology, Algebraic and Discrete Mathematical Methods for Modern )] TJ ET
BT 34.016 385.897 Td /F1 12.0 Tf [(Biology offers a bridge between math and biology, providing a framework for simulating, analyzing, predicting, and modulating the behavior of complex biological systems. Each chapter begins with a question )] TJ ET
BT 34.016 371.245 Td /F1 12.0 Tf [(from modern biology, followed by the description of certain mathematical methods and theory appropriate in the search of answers. Every topic provides a fast-track pathway through the problem by presenting )] TJ ET
BT 34.016 356.593 Td /F1 12.0 Tf [(the biological foundation, covering the relevant mathematical theory, and highlighting connections between them. Many of the projects and exercises embedded in each chapter utilize specialized software, )] TJ ET
BT 34.016 341.941 Td /F1 12.0 Tf [(providing students with much-needed familiarity and experience with computing applications, critical components of the "modern biology" skill set. This book is appropriate for mathematics courses such as finite )] TJ ET
BT 34.016 327.289 Td /F1 12.0 Tf [(mathematics, discrete structures, linear algebra, abstract/modern algebra, graph theory, probability, bioinformatics, statistics, biostatistics, and modeling, as well as for biology courses such as genetics, cell and )] TJ ET
BT 34.016 312.637 Td /F1 12.0 Tf [(molecular biology, biochemistry, ecology, and evolution. Examines significant questions in modern biology and their mathematical treatments Presents important mathematical concepts and tools in the context of )] TJ ET
BT 34.016 297.985 Td /F1 12.0 Tf [(essential biology Features material of interest to students in both mathematics and biology Presents chapters in modular format so coverage need not follow the Table of Contents Introduces projects appropriate )] TJ ET
BT 34.016 283.333 Td /F1 12.0 Tf [(for undergraduate research Utilizes freely accessible software for visualization, simulation, and analysis in modern biology Requires no calculus as a prerequisite Provides a complete Solutions Manual Features )] TJ ET
BT 34.016 268.681 Td /F1 12.0 Tf [(a companion website with supplementary resources)] TJ ET
BT 34.016 254.029 Td /F1 12.0 Tf [(An Introduction to Statistical Learning)] TJ ET
BT 232.784 254.029 Td /F1 12.0 Tf [( Gareth James 2013-06-24 An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of )] TJ ET
BT 34.016 239.377 Td /F1 12.0 Tf [(the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and )] TJ ET
BT 34.016 224.725 Td /F1 12.0 Tf [(prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, and )] TJ ET
BT 34.016 210.073 Td /F1 12.0 Tf [(more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, )] TJ ET
BT 34.016 195.421 Td /F1 12.0 Tf [(industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote )] TJ ET
BT 34.016 180.769 Td /F1 12.0 Tf [(The Elements of Statistical Learning \(Hastie, Tibshirani and Friedman, 2nd edition 2009\), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers )] TJ ET
BT 34.016 166.117 Td /F1 12.0 Tf [(many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to )] TJ ET
BT 34.016 151.465 Td /F1 12.0 Tf [(analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.)] TJ ET
BT 34.016 136.813 Td /F1 12.0 Tf [(Time Series)] TJ ET
BT 98.024 136.813 Td /F1 12.0 Tf [( Peter Diggle 1990 Time-series analysis is one of several branches of statistics whose practical importance has increased with the availability of powerful computing tools. Methodology originally )] TJ ET
BT 34.016 122.161 Td /F1 12.0 Tf [(developed for specialized applications, for example in business forecasting or geophysical signal processing, is now widely available in general statistical packages. These computing developments have helped )] TJ ET
BT 34.016 107.509 Td /F1 12.0 Tf [(to bring the subject closer to the mainstream of applied statistics. This book is an introductory account of time-series analysis, written from the perspective of an applied statitician with a particular interest in )] TJ ET
BT 34.016 92.857 Td /F1 12.0 Tf [(biological applications. Throughout, analyses of data-sets drawn from the biological and medical sciences are integrated with the methodological development. The book is unique in its emphasis on biological )] TJ ET
BT 34.016 78.205 Td /F1 12.0 Tf [(and medical applications of time-series analysis. Nevertheless, its methodological content is more widely applicable. It should be useful to both students and practitioners of applied statistics whatever their field of )] TJ ET
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BT 34.016 796.153 Td /F1 12.0 Tf [(application, and to biologists whose work involves the analysis of time-series data. Book jacket.)] TJ ET
BT 34.016 781.501 Td /F1 12.0 Tf [(Foundations and Applications of Statistics)] TJ ET
BT 256.124 781.501 Td /F1 12.0 Tf [( Randall Pruim 2018-04-04 Foundations and Applications of Statistics simultaneously emphasizes both the foundational and the computational aspects of modern )] TJ ET
BT 34.016 766.849 Td /F1 12.0 Tf [(statistics. Engaging and accessible, this book is useful to undergraduate students with a wide range of backgrounds and career goals. The exposition immediately begins with statistics, presenting concepts and )] TJ ET
BT 34.016 752.197 Td /F1 12.0 Tf [(results from probability along the way. Hypothesis testing is introduced very early, and the motivation for several probability distributions comes from p-value computations. Pruim develops the students' practical )] TJ ET
BT 34.016 737.545 Td /F1 12.0 Tf [(statistical reasoning through explicit examples and through numerical and graphical summaries of data that allow intuitive inferences before introducing the formal machinery. The topics have been selected to )] TJ ET
BT 34.016 722.893 Td /F1 12.0 Tf [(reflect the current practice in statistics, where computation is an indispensible tool. In this vein, the statistical computing environment R is used throughout the text and is integral to the exposition. Attention is paid )] TJ ET
BT 34.016 708.241 Td /F1 12.0 Tf [(to developing students' mathematical and computational skills as well as their statistical reasoning. Linear models, such as regression and ANOVA, are treated with explicit reference to the underlying linear )] TJ ET
BT 34.016 693.589 Td /F1 12.0 Tf [(algebra, which is motivated geometrically. Foundations and Applications of Statistics discusses both the mathematical theory underlying statistics and practical applications that make it a powerful tool across )] TJ ET
BT 34.016 678.937 Td /F1 12.0 Tf [(disciplines. The book contains ample material for a two-semester course in undergraduate probability and statistics. A one-semester course based on the book will cover hypothesis testing and confidence )] TJ ET
BT 34.016 664.285 Td /F1 12.0 Tf [(intervals for the most common situations. In the second edition, the R code has been updated throughout to take advantage of new R packages and to illustrate better coding style. New sections have been )] TJ ET
BT 34.016 649.633 Td /F1 12.0 Tf [(added covering bootstrap methods, multinomial and multivariate normal distributions, the delta method, numerical methods for Bayesian inference, and nonlinear least squares. Also, the use of matrix algebra )] TJ ET
BT 34.016 634.981 Td /F1 12.0 Tf [(has been expanded, but remains optional, providing instructors with more options regarding the amount of linear algebra required.)] TJ ET
BT 34.016 620.329 Td /F1 12.0 Tf [(The Fundamentals of Modern Statistical Genetics)] TJ ET
0.24 w 0 J [ ] 0 d
34.016 618.349 m 296.792 618.349 l S
BT 296.792 620.329 Td /F1 12.0 Tf [( Nan M. Laird 2010-12-13 This book covers the statistical models and methods that are used to understand human genetics, following the historical and recent )] TJ ET
BT 34.016 605.677 Td /F1 12.0 Tf [(developments of human genetics. Starting with Mendel’s first experiments to genome-wide association studies, the book describes how genetic information can be incorporated into statistical models to discover )] TJ ET
BT 34.016 591.025 Td /F1 12.0 Tf [(disease genes. All commonly used approaches in statistical genetics \(e.g. aggregation analysis, segregation, linkage analysis, etc\), are used, but the focus of the book is modern approaches to association )] TJ ET
BT 34.016 576.373 Td /F1 12.0 Tf [(analysis. Numerous examples illustrate key points throughout the text, both of Mendelian and complex genetic disorders. The intended audience is statisticians, biostatisticians, epidemiologists and quantitatively- )] TJ ET
BT 34.016 561.721 Td /F1 12.0 Tf [(oriented geneticists and health scientists wanting to learn about statistical methods for genetic analysis, whether to better analyze genetic data, or to pursue research in methodology. A background in )] TJ ET
BT 34.016 547.069 Td /F1 12.0 Tf [(intermediate level statistical methods is required. The authors include few mathematical derivations, and the exercises provide problems for students with a broad range of skill levels. No background in genetics )] TJ ET
BT 34.016 532.417 Td /F1 12.0 Tf [(is assumed.)] TJ ET
BT 34.016 517.765 Td /F1 12.0 Tf [(An R Companion for Applied Statistics I)] TJ ET
0.24 w 0 J [ ] 0 d
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BT 244.100 517.765 Td /F1 12.0 Tf [( Danney Rasco 2020-01-28 An R Companion for Applied Statistics I: Basic Bivariate Techniques breaks the language of the R software down into manageable chunks in )] TJ ET
BT 34.016 503.113 Td /F1 12.0 Tf [(order to help students learn how to use it. R is a powerful, flexible, and free tool. However, the flexibility—which eventually becomes a great asset—can make the initial learning curve appear steep. This book )] TJ ET
BT 34.016 488.461 Td /F1 12.0 Tf [(introduces a few key aspects of the R tool. As readers become comfortable with these aspects, they develop a foundation from which to more thoroughly explore R and the packages available for it. This )] TJ ET
BT 34.016 473.809 Td /F1 12.0 Tf [(introduction does not explain every possible way to analyze data or perform a specific type of analysis. Rather, it focuses on the analyses that are traditionally included in an undergraduate statistics course and )] TJ ET
BT 34.016 459.157 Td /F1 12.0 Tf [(provides one or two ways to run these analyses in R. Datasets and scripts to run the examples are provided on an accompanying website. The book has been designed to be an R companion to Warner's )] TJ ET
BT 34.016 444.505 Td /F1 12.0 Tf [(Applied Statistics I, Third Edition, and includes end-of-chapter instructions for replicating the examples from that book in R. However, this text can also be used as a stand-alone R guide, without reference to the )] TJ ET
BT 34.016 429.853 Td /F1 12.0 Tf [(Warner text.)] TJ ET
BT 34.016 415.201 Td /F1 12.0 Tf [(The New Statistics with R)] TJ ET
BT 170.048 415.201 Td /F1 12.0 Tf [( Andy Hector 2015 Statistical methods are a key tool for all scientists working with data, but learning the basic mathematical skills can be one of the most challenging components of a )] TJ ET
BT 34.016 400.549 Td /F1 12.0 Tf [(biologist's training. This accessible book provides a contemporary introduction to the classical techniques and modern extensions of linear model analysis: one of the most useful approaches in the analysis of )] TJ ET
BT 34.016 385.897 Td /F1 12.0 Tf [(scientific data in the life and environmental sciences. It emphasizes an estimation-based approach that accounts for recent criticisms of the over-use of probability values, and introduces alternative approaches )] TJ ET
BT 34.016 371.245 Td /F1 12.0 Tf [(using information criteria. Statistics are introduced through worked analyses performed in R, the free open source programming language for statistics and graphics, which is rapidly becoming the standard )] TJ ET
BT 34.016 356.593 Td /F1 12.0 Tf [(software in many areas of science and technology. These analyses use real data sets from ecology, evolutionary biology and environmental science, and the data sets and R scripts are available as support )] TJ ET
BT 34.016 341.941 Td /F1 12.0 Tf [(material. The book's structure and user friendly style stem from the author's 20 years of experience teaching statistics to life and environmental scientists at both the undergraduate and graduate levels. The New )] TJ ET
BT 34.016 327.289 Td /F1 12.0 Tf [(Statistics with R is suitable for senior undergraduate and graduate students, professional researchers, and practitioners in the fields of ecology, evolution, environmental studies, and computational biology.)] TJ ET
BT 34.016 312.637 Td /F1 12.0 Tf [(Managing Your Biological Data with Python)] TJ ET
BT 264.116 312.637 Td /F1 12.0 Tf [( Allegra Via 2014-03-18 Take Control of Your Data and Use Python with ConfidenceRequiring no prior programming experience, Managing Your Biological Data with )] TJ ET
BT 34.016 297.985 Td /F1 12.0 Tf [(Python empowers biologists and other life scientists to work with biological data on their own using the Python language. The book teaches them not only how to program but also how to manage their data. It )] TJ ET
BT 34.016 283.333 Td /F1 12.0 Tf [(shows how)] TJ ET
BT 34.016 268.681 Td /F1 12.0 Tf [(Analysis of Biological Data)] TJ ET
BT 34.016 254.029 Td /F1 12.0 Tf [(Computational Genome Analysis)] TJ ET
BT 208.748 254.029 Td /F1 12.0 Tf [( Richard C. Deonier 2005-12-27 This book presents the foundations of key problems in computational molecular biology and bioinformatics. It focuses on computational and )] TJ ET
BT 34.016 239.377 Td /F1 12.0 Tf [(statistical principles applied to genomes, and introduces the mathematics and statistics that are crucial for understanding these applications. The book features a free download of the R software statistics )] TJ ET
BT 34.016 224.725 Td /F1 12.0 Tf [(package and the text provides great crossover material that is interesting and accessible to students in biology, mathematics, statistics and computer science. More than 100 illustrations and diagrams reinforce )] TJ ET
BT 34.016 210.073 Td /F1 12.0 Tf [(concepts and present key results from the primary literature. Exercises are given at the end of chapters.)] TJ ET
BT 36.266 170.678 Td /F1 8.0 Tf [(foundational-and-applied-statistics-for-biologists-using-r)] TJ ET
BT 903.940 170.885 Td /F1 8.0 Tf [(Downloaded from )] TJ ET
BT 968.852 170.678 Td /F1 8.0 Tf [(coloringplanet.com)] TJ ET
BT 1035.988 170.885 Td /F1 8.0 Tf [( on September 26, 2022 by guest)] TJ ET
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