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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 93 results in Chapman & Hall/CRC Texts in Statistical Science
  1. Statistical Theory

    A Concise Introduction

    By Felix Abramovich, Ya'acov Ritov

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Designed for a one-semester advanced undergraduate or graduate course, Statistical Theory: A Concise Introduction clearly explains the underlying ideas and principles of major statistical concepts, including parameter estimation, confidence intervals, hypothesis testing, asymptotic analysis,...

    Published April 25th 2013 by Chapman and Hall/CRC

  2. Understanding Advanced Statistical Methods

    By Peter Westfall, Kevin S. S. Henning

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Providing a much-needed bridge between elementary statistics courses and advanced research methods courses, Understanding Advanced Statistical Methods helps students grasp the fundamental assumptions and machinery behind sophisticated statistical topics, such as logistic regression, maximum...

    Published April 9th 2013 by Chapman and Hall/CRC

  3. 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 2nd 2012 by Chapman and Hall/CRC

  4. 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 October 1st 2012 by Chapman and Hall/CRC

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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