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Statistics for the Biological Sciences Books

You are currently browsing 21–30 of 165 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 3

  1. Linear Models with R, Second Edition

    By Julian J. Faraway

    Series: Chapman & Hall/CRC Texts in Statistical Science

    A Hands-On Way to Learning Data Analysis Part of the core of statistics, linear models are used to make predictions and explain the relationship between the response and the predictors. Understanding linear models is crucial to a broader competence in the practice of statistics. Linear Models with...

    Published July 1st 2014 by Chapman and Hall/CRC

  2. A Handbook of Statistical Analyses using R, Third Edition

    By Torsten Hothorn, Brian S. Everitt

    Like the best-selling first two editions, A Handbook of Statistical Analyses using R, Third Edition provides an up-to-date guide to data analysis using the R system for statistical computing. The book explains how to conduct a range of statistical analyses, from simple inference to recursive...

    Published June 25th 2014 by Chapman and Hall/CRC

  3. Introduction to Multivariate Analysis

    Linear and Nonlinear Modeling

    By Sadanori Konishi

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Select the Optimal Model for Interpreting Multivariate Data Introduction to Multivariate Analysis: Linear and Nonlinear Modeling shows how multivariate analysis is widely used for extracting useful information and patterns from multivariate data and for understanding the structure of random...

    Published June 6th 2014 by Chapman and Hall/CRC

  4. Robust Response Surfaces, Regression, and Positive Data Analyses

    By Rabindra Nath Das

    Although widely used in science and technology for experimental data generating, modeling, and optimization, the response surface methodology (RSM) has many limitations. Showing how robust response surface methodology (RRSM) can overcome these limitations, Robust Response Surfaces, Regression, and...

    Published May 21st 2014 by Chapman and Hall/CRC

  5. Implementing Reproducible Research

    Edited by Victoria Stodden, Friedrich Leisch, Roger D. Peng

    Series: Chapman & Hall/CRC The R Series

    In computational science, reproducibility requires that researchers make code and data available to others so that the data can be analyzed in a similar manner as in the original publication. Code must be available to be distributed, data must be accessible in a readable format, and a platform must...

    Published April 14th 2014 by Chapman and Hall/CRC

  6. Quasi-Least Squares Regression

    By Justine Shults, Joseph M. Hilbe

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

    Drawing on the authors’ substantial expertise in modeling longitudinal and clustered data, Quasi-Least Squares Regression provides a thorough treatment of quasi-least squares (QLS) regression—a computational approach for the estimation of correlation parameters within the framework of generalized...

    Published January 28th 2014 by Chapman and Hall/CRC

  7. Stochastic Modeling and Mathematical Statistics

    A Text for Statisticians and Quantitative Scientists

    By Francisco J. Samaniego

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Provides a Solid Foundation for Statistical Modeling and Inference and Demonstrates Its Breadth of Applicability Stochastic Modeling and Mathematical Statistics: A Text for Statisticians and Quantitative Scientists addresses core issues in post-calculus probability and statistics in a way that is...

    Published January 14th 2014 by Chapman and Hall/CRC

  8. Randomised Response-Adaptive Designs in Clinical Trials

    By Anthony C Atkinson, Atanu Biswas

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

    Randomised Response-Adaptive Designs in Clinical Trials presents methods for the randomised allocation of treatments to patients in sequential clinical trials. Emphasizing the practical application of clinical trial designs, the book is designed for medical and applied statisticians, clinicians,...

    Published December 26th 2013 by Chapman and Hall/CRC

  9. Theory of Factorial Design

    Single- and Multi-Stratum Experiments

    By Ching-Shui Cheng

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

    Bringing together both new and old results, Theory of Factorial Design: Single- and Multi-Stratum Experiments provides a rigorous, systematic, and up-to-date treatment of the theoretical aspects of factorial design. To prepare readers for a general theory, the author first presents a unified...

    Published December 21st 2013 by Chapman and Hall/CRC

  10. Epidemiology

    Study Design and Data Analysis, Third Edition

    By Mark Woodward

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Highly praised for its broad, practical coverage, the second edition of this popular text incorporated the major statistical models and issues relevant to epidemiological studies. Epidemiology: Study Design and Data Analysis, Third Edition continues to focus on the quantitative aspects of...

    Published December 19th 2013 by Chapman and Hall/CRC