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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

11-20 of 85 results in Chapman & Hall/CRC Texts in Statistical Science
  1. The BUGS Book

    A Practical Introduction to Bayesian Analysis

    By David Lunn, Chris Jackson, Nicky Best, Andrew Thomas, David Spiegelhalter

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Bayesian statistical methods have become widely used for data analysis and modelling in recent years, and the BUGS software has become the most popular software for Bayesian analysis worldwide. Authored by the team that originally developed this software, The BUGS Book provides a practical...

    Published October 1st 2012 by Chapman and Hall/CRC

  2. Stationary Stochastic Processes

    Theory and Applications

    By Georg Lindgren

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Intended for a second course in stationary processes, Stationary Stochastic Processes: Theory and Applications presents the theory behind the field’s widely scattered applications in engineering and science. In addition, it reviews sample function properties and spectral representations for...

    Published September 30th 2012 by Chapman and Hall/CRC

  3. 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 23rd 2012 by CRC Press

  4. 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 3rd 2012 by Chapman and Hall/CRC

  5. 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 16th 2012 by Chapman and Hall/CRC

  6. 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 19th 2011 by Chapman and Hall/CRC

  7. 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 4th 2011 by Chapman and Hall/CRC

  8. 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 17th 2011 by Chapman and Hall/CRC

  9. 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 6th 2011 by Chapman and Hall/CRC

  10. 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 8th 2010 by CRC Press