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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 91 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. Introduction to General and Generalized Linear Models

    By Henrik Madsen, Poul Thyregod

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Bridging the gap between theory and practice for modern statistical model building, Introduction to General and Generalized Linear Models presents likelihood-based techniques for statistical modelling using various types of data. Implementations using R are provided throughout the text, although...

    Published November 9th 2010 by CRC Press

  9. Exercises and Solutions in Biostatistical Theory

    By Lawrence Kupper, Brian Neelon, Sean M. O'Brien

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Drawn from nearly four decades of Lawrence L. Kupper’s teaching experiences as a distinguished professor in the Department of Biostatistics at the University of North Carolina, Exercises and Solutions in Biostatistical Theory presents theoretical statistical concepts, numerous exercises, and...

    Published November 9th 2010 by Chapman and Hall/CRC

  10. Design of Experiments

    An Introduction Based on Linear Models

    By Max Morris

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Offering deep insight into the connections between design choice and the resulting statistical analysis, Design of Experiments: An Introduction Based on Linear Models explores how experiments are designed using the language of linear statistical models. The book presents an organized framework for...

    Published July 27th 2010 by Chapman and Hall/CRC