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Statistics for the Biological Sciences Books

You are currently browsing 1–10 of 308 new and published books in the subject of Statistics for the Biological Sciences — sorted by publish date from newer books to older books.

For books that are not yet published; please browse forthcoming books.

New and Published Books – Page 1

  1. Design and Analysis of Cross-Over Trials, Third Edition

    By Byron Jones, Michael G. Kenward

    Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

    Design and Analysis of Cross-Over Trials is concerned with a specific kind of comparative trial known as the cross-over trial, in which subjects receive different sequences of treatments. Such trials are widely used in clinical and medical research, and in other diverse areas such as veterinary...

    Published October 7th 2014 by Chapman and Hall/CRC

  2. Advanced R

    By Hadley Wickham

    Series: Chapman & Hall/CRC The R Series

    An Essential Reference for Intermediate and Advanced R Programmers Advanced R presents useful tools and techniques for attacking many types of R programming problems, helping you avoid mistakes and dead ends. With more than ten years of experience programming in R, the author illustrates the...

    Published September 24th 2014 by Chapman and Hall/CRC

  3. Hierarchical Modeling and Analysis for Spatial Data, Second Edition

    By Sudipto Banerjee, Bradley P. Carlin, Alan E. Gelfand

    Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

    Keep Up to Date with the Evolving Landscape of Space and Space-Time Data Analysis and Modeling Since the publication of the first edition, the statistical landscape has substantially changed for analyzing space and space-time data. More than twice the size of its predecessor, Hierarchical Modeling...

    Published September 11th 2014 by Chapman and Hall/CRC

  4. Statistical Inference

    An Integrated Approach, Second Edition

    By Helio S. Migon, Dani Gamerman, Francisco Louzada

    Series: Chapman & Hall/CRC Texts in Statistical Science

    A Balanced Treatment of Bayesian and Frequentist Inference Statistical Inference: An Integrated Approach, Second Edition presents an account of the Bayesian and frequentist approaches to statistical inference. Now with an additional author, this second edition places a more balanced emphasis on...

    Published September 2nd 2014 by Chapman and Hall/CRC

  5. Statistical Methods in Biology

    Design and Analysis of Experiments and Regression

    By S.J. Welham, S.A. Gezan, S.J. Clark, A. Mead

    Written in simple language with relevant examples, Statistical Methods in Biology: Design and Analysis of Experiments and Regression is a practical and illustrative guide to the design of experiments and data analysis in the biological and agricultural sciences. The book presents statistical ideas...

    Published August 21st 2014 by Chapman and Hall/CRC

  6. Stated Preference Methods Using R

    By Hideo Aizaki, Tomoaki Nakatani, Kazuo Sato

    Series: Chapman & Hall/CRC The R Series

    Stated Preference Methods Using R explains how to use stated preference (SP) methods, which are a family of survey methods, to measure people’s preferences based on decision making in hypothetical choice situations. Along with giving introductory explanations of the methods, the book collates...

    Published August 14th 2014 by Chapman and Hall/CRC

  7. A Handbook of Statistical Graphics Using SAS ODS

    By Geoff Der, Brian S. Everitt

    Easily Use SAS to Produce Your Graphics Diagrams, plots, and other types of graphics are indispensable components in nearly all phases of statistical analysis, from the initial assessment of the data to the selection of appropriate statistical models to the diagnosis of the chosen models once they...

    Published August 14th 2014 by Chapman and Hall/CRC

  8. Analysis of Categorical Data with R

    By Christopher R. Bilder, Thomas M. Loughin

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Learn How to Properly Analyze Categorical DataAnalysis of Categorical Data with R presents a modern account of categorical data analysis using the popular R software. It covers recent techniques of model building and assessment for binary, multicategory, and count response variables and discusses...

    Published August 10th 2014 by Chapman and Hall/CRC

  9. Analysis of Capture-Recapture Data

    By Rachel S. McCrea, Byron J. T. Morgan

    Series: Chapman & Hall/CRC Interdisciplinary Statistics

    An important first step in studying the demography of wild animals is to identify the animals uniquely through applying markings, such as rings, tags, and bands. Once the animals are encountered again, researchers can study different forms of capture-recapture data to estimate features, such as the...

    Published July 31st 2014 by Chapman and Hall/CRC

  10. Linear Mixed Models

    A Practical Guide Using Statistical Software, Second Edition

    By Brady T. West, Kathleen B. Welch, Andrzej T Galecki

    Highly recommended by JASA, Technometrics, and other journals, the first edition of this bestseller showed how to easily perform complex linear mixed model (LMM) analyses via a variety of software programs. Linear Mixed Models: A Practical Guide Using Statistical Software, Second Edition continues...

    Published July 16th 2014 by Chapman and Hall/CRC