Skip to Content

Book Series

Chapman & Hall/CRC Texts in Statistical Science

Series Editor: Julian J. Faraway, Martin A. Tanner, Bradley. P. Carlin, Jim Zidek, Francesca Dominici

New and Published Books

21-30 of 90 results in Chapman & Hall/CRC Texts in Statistical Science
  1. Generalized Linear Mixed Models

    Modern Concepts, Methods and Applications

    By Walter W. Stroup

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Generalized Linear Mixed Models: Modern Concepts, Methods and Applications presents an introduction to linear modeling using the generalized linear mixed model (GLMM) as an overarching conceptual framework. For readers new to linear models, the book helps them see the big picture. It shows how...

    Published September 24th 2012 by CRC Press

  2. Applied Categorical and Count Data Analysis

    By Wan Tang, Hua He, Xin M. Tu

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Developed from the authors’ graduate-level biostatistics course, Applied Categorical and Count Data Analysis explains how to perform the statistical analysis of discrete data, including categorical and count outcomes. The authors describe the basic ideas underlying each concept, model, and approach...

    Published June 4th 2012 by Chapman and Hall/CRC

  3. Multivariate Survival Analysis and Competing Risks

    By Martin J. Crowder

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Multivariate Survival Analysis and Competing Risks introduces univariate survival analysis and extends it to the multivariate case. It covers competing risks and counting processes and provides many real-world examples, exercises, and R code. The text discusses survival data, survival distributions...

    Published April 17th 2012 by Chapman and Hall/CRC

  4. Introduction to the Theory of Statistical Inference

    By Hannelore Liero, Silvelyn Zwanzig

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Based on the authors’ lecture notes, Introduction to the Theory of Statistical Inference presents concise yet complete coverage of statistical inference theory, focusing on the fundamental classical principles. Suitable for a second-semester undergraduate course on statistical inference, the book...

    Published July 20th 2011 by Chapman and Hall/CRC

  5. Practical Multivariate Analysis, Fifth Edition

    By Abdelmonem Afifi, Susanne May, Virginia A. Clark

    Series: Chapman & Hall/CRC Texts in Statistical Science

    This new version of the bestselling Computer-Aided Multivariate Analysis has been appropriately renamed to better characterize the nature of the book. Taking into account novel multivariate analyses as well as new options for many standard methods, Practical Multivariate Analysis, Fifth Edition...

    Published July 5th 2011 by Chapman and Hall/CRC

  6. Principles of Uncertainty

    By Joseph B. Kadane

    Series: Chapman & Hall/CRC Texts in Statistical Science

    An intuitive and mathematical introduction to subjective probability and Bayesian statistics. An accessible, comprehensive guide to the theory of Bayesian statistics, Principles of Uncertainty presents the subjective Bayesian approach, which has played a pivotal role in game theory, economics, and...

    Published May 18th 2011 by Chapman and Hall/CRC

  7. Introduction to Statistical Limit Theory

    By Alan M. Polansky

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Helping students develop a good understanding of asymptotic theory, Introduction to Statistical Limit Theory provides a thorough yet accessible treatment of common modes of convergence and their related tools used in statistics. It also discusses how the results can be applied to several common...

    Published January 7th 2011 by Chapman and Hall/CRC

  8. Applied Nonparametric Statistical Methods, Third Edition

    By Peter Sprent, Nigel C. Smeeton

    Series: Chapman & Hall/CRC Texts in Statistical Science

    This new edition follows the basic easy-to-digest pattern that was so well received by users of the earlier editions. The authors substantially update and expand Applied Nonparametric Statistical Methods to reflect changing attitudes towards applied statistics, new developments, and the impact of...

    Published December 12th 2010 by Chapman and Hall/CRC

  9. Bayes and Empirical Bayes Methods for Data Analysis, Second Edition

    By Bradley P. Carlin, Thomas A. Louis

    Series: Chapman & Hall/CRC Texts in Statistical Science

    In recent years, Bayes and empirical Bayes (EB) methods have continued to increase in popularity and impact. Building on the first edition of their popular text, Carlin and Louis introduce these methods, demonstrate their usefulness in challenging applied settings, and show how they can be...

    Published December 12th 2010 by Chapman and Hall/CRC

  10. An Introduction to Generalized Linear Models, Second Edition

    By Annette J. Dobson

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Generalized linear models provide a unified theoretical and conceptual framework for many of the most commonly used statistical methods. In the ten years since publication of the first edition of this bestselling text, great strides have been made in the development of new methods and in software...

    Published December 12th 2010 by Chapman and Hall/CRC