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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

51-60 of 89 results in Chapman & Hall/CRC Texts in Statistical Science
  1. Introduction to Randomized Controlled Clinical Trials, Second Edition

    By John N.S. Matthews

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Evidence from randomized controlled clinical trials is widely accepted as the only sound basis for assessing the efficacy of new medical treatments. Statistical methods play a key role in all stages of these trials, including their justification, design, and analysis. This second edition of...

    Published June 26th 2006 by Chapman and Hall/CRC

  2. Markov Chain Monte Carlo

    Stochastic Simulation for Bayesian Inference, Second Edition

    By Dani Gamerman, Hedibert F. Lopes

    Series: Chapman & Hall/CRC Texts in Statistical Science

    While there have been few theoretical contributions on the Markov Chain Monte Carlo (MCMC) methods in the past decade, current understanding and application of MCMC to the solution of inference problems has increased by leaps and bounds. Incorporating changes in theory and highlighting new...

    Published May 10th 2006 by Chapman and Hall/CRC

  3. Generalized Additive Models

    An Introduction with R

    By Simon Wood

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Now in widespread use, generalized additive models (GAMs) have evolved into a standard statistical methodology of considerable flexibility. While Hastie and Tibshirani's outstanding 1990 research monograph on GAMs is largely responsible for this, there has been a long-standing need for an...

    Published February 27th 2006 by Chapman and Hall/CRC

  4. Extending the Linear Model with R

    Generalized Linear, Mixed Effects and Nonparametric Regression Models

    By Julian J. Faraway

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Linear models are central to the practice of statistics and form the foundation of a vast range of statistical methodologies. Julian J. Faraway's critically acclaimed Linear Models with R examined regression and analysis of variance, demonstrated the different methods available, and showed in which...

    Published December 20th 2005 by Chapman and Hall/CRC

  5. Statistical Methods for Spatial Data Analysis

    By Oliver Schabenberger, Carol A. Gotway

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Understanding spatial statistics requires tools from applied and mathematical statistics, linear model theory, regression, time series, and stochastic processes. It also requires a mindset that focuses on the unique characteristics of spatial data and the development of specialized analytical tools...

    Published December 20th 2004 by Chapman and Hall/CRC

  6. Statistics for Epidemiology

    By Nicholas P. Jewell

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Statistical ideas have been integral to the development of epidemiology and continue to provide the tools needed to interpret epidemiological studies. Although epidemiologists do not need a highly mathematical background in statistical theory to conduct and interpret such studies, they do need more...

    Published August 26th 2003 by Chapman and Hall/CRC

  7. The Analysis of Time Series

    An Introduction, Sixth Edition

    By Chris Chatfield

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Since 1975, The Analysis of Time Series: An Introduction has introduced legions of statistics students and researchers to the theory and practice of time series analysis. With each successive edition, bestselling author Chris Chatfield has honed and refined his presentation, updated the material to...

    Published July 29th 2003 by Chapman and Hall/CRC

  8. Survival Analysis Using S

    Analysis of Time-to-Event Data

    By Mara Tableman, Jong Sung Kim

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Survival Analysis Using S: Analysis of Time-to-Event Data is designed as a text for a one-semester or one-quarter course in survival analysis for upper-level or graduate students in statistics, biostatistics, and epidemiology. Prerequisites are a standard pre-calculus first course in probability...

    Published July 28th 2003 by Chapman and Hall/CRC

  9. Modelling Survival Data in Medical Research, Second Edition

    By David Collett

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Critically acclaimed and resoundingly popular in its first edition, Modelling Survival Data in Medical Research has been thoroughly revised and updated to reflect the many developments and advances--particularly in software--made in the field over the last 10 years. Now, more than ever, it provides...

    Published March 28th 2003 by Chapman and Hall/CRC

  10. Modelling Binary Data, Second Edition

    By David Collett

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Since the original publication of the bestselling Modelling Binary Data, a number of important methodological and computational developments have emerged, accompanied by the steady growth of statistical computing. Mixed models for binary data analysis and procedures that lead to an exact version of...

    Published September 25th 2002 by Chapman and Hall/CRC