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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 93 results in Chapman & Hall/CRC Texts in Statistical Science
  1. Introduction to Statistical Methods for Clinical Trials

    By Thomas D. Cook, David L DeMets

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Clinical trials have become essential research tools for evaluating the benefits and risks of new interventions for the treatment and prevention of diseases, from cardiovascular disease to cancer to AIDS. Based on the authors’ collective experiences in this field, Introduction to Statistical...

    Published November 19th 2007 by Chapman and Hall/CRC

  2. Applied Nonparametric Statistical Methods, Fourth Edition

    By Peter Sprent, Nigel C. Smeeton

    Series: Chapman & Hall/CRC Texts in Statistical Science

    While preserving the clear, accessible style of previous editions, Applied Nonparametric Statistical Methods, Fourth Edition reflects the latest developments in computer-intensive methods that deal with intractable analytical problems and unwieldy data sets. Reorganized and with additional material...

    Published March 6th 2007 by Chapman and Hall/CRC

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. Epidemiology

    Study Design and Data Analysis, Second Edition

    By Mark Woodward

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Building an up-to-date understanding of the methodologies that can be used to shape public health policies, Epidemiology: Study Design and Data Analysis, Second Edition encompasses the study of epidemiology from the observation of associations between risk factors and disease to the use of...

    Published November 29th 2004 by Chapman and Hall/CRC

  9. 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

  10. 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