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Statistics for the Biological Sciences Books

You are currently browsing 1–10 of 164 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. Current Trends in Bayesian Methodology with Applications

    Edited by Satyanshu K. Upadhyay, Umesh Singh, Dipak K. Dey, Appaia Loganathan

    Collecting Bayesian material scattered throughout the literature, Current Trends in Bayesian Methodology with Applications examines the latest methodological and applied aspects of Bayesian statistics. The book covers biostatistics, econometrics, reliability and risk analysis, spatial statistics,...

    Published May 21st 2015 by Chapman and Hall/CRC

  2. Robust Methods for Data Reduction

    By Alessio Farcomeni, Luca Greco

    Robust Methods for Data Reduction gives a non-technical overview of robust data reduction techniques, encouraging the use of these important and useful methods in practical applications. The main areas covered include principal components analysis, sparse principal component analysis, canonical...

    Published April 16th 2015 by Chapman and Hall/CRC

  3. Adaptive Designs for Sequential Treatment Allocation

    By Alessandro Baldi Antognini, Alessandra Giovagnoli

    Series: Chapman & Hall/CRC Biostatistics Series

    Adaptive Designs for Sequential Treatment Allocation presents a rigorous theoretical treatment of the results and mathematical foundation of adaptive design theory. The book focuses on designing sequential randomized experiments to compare two or more treatments incorporating information accrued...

    Published April 6th 2015 by Chapman and Hall/CRC

  4. Bayesian Inference for Partially Identified Models

    Exploring the Limits of Limited Data

    By Paul Gustafson

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

    Bayesian Inference for Partially Identified Models: Exploring the Limits of Limited Data shows how the Bayesian approach to inference is applicable to partially identified models (PIMs) and examines the performance of Bayesian procedures in partially identified contexts. Drawing on his many years...

    Published April 1st 2015 by Chapman and Hall/CRC

  5. Using R and RStudio for Data Management, Statistical Analysis, and Graphics, Second Edition

    By Nicholas J. Horton, Ken Kleinman

    Improve Your Analytical Skills Incorporating the latest R packages as well as new case studies and applications, Using R and RStudio for Data Management, Statistical Analysis, and Graphics, Second Edition covers the aspects of R most often used by statistical analysts. New users of R will find the...

    Published March 10th 2015 by Chapman and Hall/CRC

  6. Mendelian Randomization

    Methods for Using Genetic Variants in Causal Estimation

    By Stephen Burgess, Simon G. Thompson

    Series: Chapman & Hall/CRC Interdisciplinary Statistics

    Presents the Terminology and Methods of Mendelian Randomization for Epidemiological Studies Mendelian randomization uses genetic instrumental variables to make inferences about causal effects based on observational data. It, therefore, can be a reliable way of assessing the causal nature of risk...

    Published March 6th 2015 by Chapman and Hall/CRC

  7. Design and Analysis of Experiments with R

    By John Lawson

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Design and Analysis of Experiments with R presents a unified treatment of experimental designs and design concepts commonly used in practice. It connects the objectives of research to the type of experimental design required, describes the process of creating the design and collecting the data,...

    Published December 17th 2014 by Chapman and Hall/CRC

  8. Bayesian Methods

    A Social and Behavioral Sciences Approach, Third Edition

    By Jeff Gill

    Series: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences

    An Update of the Most Popular Graduate-Level Introductions to Bayesian Statistics for Social Scientists Now that Bayesian modeling has become standard, MCMC is well understood and trusted, and computing power continues to increase, Bayesian Methods: A Social and Behavioral Sciences Approach, Third...

    Published December 11th 2014 by Chapman and Hall/CRC

  9. Handbook of Missing Data Methodology

    Edited by Geert Molenberghs, Garrett Fitzmaurice, Michael G. Kenward, Anastasios Tsiatis, Geert Verbeke

    Series: Chapman & Hall/CRC Handbooks of Modern Statistical Methods

    Missing data affect nearly every discipline by complicating the statistical analysis of collected data. But since the 1990s, there have been important developments in the statistical methodology for handling missing data. Written by renowned statisticians in this area, Handbook of Missing Data...

    Published November 6th 2014 by Chapman and Hall/CRC

  10. Introduction to Ecological Sampling

    Edited by Bryan F.J. Manly, Jorge A. Navarro Alberto

    Series: Chapman & Hall/CRC Applied Environmental Statistics

    An Easy-to-Understand Treatment of Ecological Sampling Methods and Data Analysis Including only the necessary mathematical derivations, Introduction to Ecological Sampling shows how to use sampling procedures for ecological and environmental studies. It incorporates both traditional sampling...

    Published October 20th 2014 by Chapman and Hall/CRC