New and Published Books
41-50 of 85 results in 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 25th 2006 by Chapman and Hall/CRC
Stochastic Simulation for Bayesian Inference, Second Edition
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 9th 2006 by Chapman and Hall/CRC
An Introduction with R
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 26th 2006 by Chapman and Hall/CRC
Generalized Linear, Mixed Effects and Nonparametric Regression Models
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 19th 2005 by Chapman and Hall/CRC
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 19th 2004 by Chapman and Hall/CRC
Study Design and Data Analysis, Second Edition
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 28th 2004 by Chapman and Hall/CRC
Books on regression and the analysis of variance abound—many are introductory, many are theoretical. While most of them do serve a purpose, the fact remains that data analysis cannot be properly learned without actually doing it, and this means using a statistical software package. There are many...
Published August 11th 2004 by Chapman and Hall/CRC
This book presents the concepts of statistical inference for students from non-mathematical backgrounds. Written at a level that appeals to those without a strong background in mathematics, and with its application and example-orientated approach, it is highly relevant to those in both academia and...
Published April 29th 2004 by Chapman and Hall/CRC
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 25th 2003 by Chapman and Hall/CRC
An Introduction, Sixth Edition
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 28th 2003 by Chapman and Hall/CRC
Richly Parameterized Linear Models: Additive, Time Series, and Spatial Models Using Random Effects
To Be Published April 3rd 2014
Linear Algebra and Matrix Analysis for Statistics
To Be Published June 2nd 2014
Introduction to Multivariate Analysis: Linear and Nonlinear Modeling
To Be Published June 22nd 2014
Bayesian Networks: With Examples in R
To Be Published June 30th 2014
Linear Models with R, Second Edition
To Be Published July 8th 2014
Statistical Inference: An Integrated Approach, Second Edition
To Be Published August 14th 2014
Analysis of Categorical Data with R
To Be Published August 25th 2014
Introduction to Probability
To Be Published August 25th 2014
Modelling, Inference and Data Analysis: A Second Course in Statistics
To Be Published September 14th 2014
Analysis of Competing Risks Data: Concepts, Methods and Software
To Be Published September 25th 2014