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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

31-40 of 90 results in Chapman & Hall/CRC Texts in Statistical Science
  1. 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 9th 2010 by CRC Press

  2. Exercises and Solutions in Biostatistical Theory

    By Lawrence Kupper, Brian Neelon, Sean M. O'Brien

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Drawn from nearly four decades of Lawrence L. Kupper’s teaching experiences as a distinguished professor in the Department of Biostatistics at the University of North Carolina, Exercises and Solutions in Biostatistical Theory presents theoretical statistical concepts, numerous exercises, and...

    Published November 9th 2010 by Chapman and Hall/CRC

  3. Design of Experiments

    An Introduction Based on Linear Models

    By Max Morris

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Offering deep insight into the connections between design choice and the resulting statistical analysis, Design of Experiments: An Introduction Based on Linear Models explores how experiments are designed using the language of linear statistical models. The book presents an organized framework for...

    Published July 27th 2010 by Chapman and Hall/CRC

  4. Bayesian Ideas and Data Analysis

    An Introduction for Scientists and Statisticians

    By Ronald Christensen, Wesley Johnson, Adam Branscum, Timothy E Hanson

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Emphasizing the use of WinBUGS and R to analyze real data, Bayesian Ideas and Data Analysis: An Introduction for Scientists and Statisticians presents statistical tools to address scientific questions. It highlights foundational issues in statistics, the importance of making accurate predictions,...

    Published July 2nd 2010 by CRC Press

  5. Time Series

    Modeling, Computation, and Inference

    By Raquel Prado, Mike West

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Focusing on Bayesian approaches and computations using simulation-based methods for inference, Time Series: Modeling, Computation, and Inference integrates mainstream approaches for time series modeling with significant recent developments in methodology and applications of time series analysis. It...

    Published May 21st 2010 by Chapman and Hall/CRC

  6. Design and Analysis of Experiments with SAS

    By John Lawson

    Series: Chapman & Hall/CRC Texts in Statistical Science

    A culmination of the author’s many years of consulting and teaching, Design and Analysis of Experiments with SAS provides practical guidance on the computer analysis of experimental data. It connects the objectives of research to the type of experimental design required, describes the actual...

    Published May 4th 2010 by Chapman and Hall/CRC

  7. Graphics for Statistics and Data Analysis with R

    By Kevin J Keen

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Graphics for Statistics and Data Analysis with R presents the basic principles of sound graphical design and applies these principles to engaging examples using the graphical functions available in R. It offers a wide array of graphical displays for the presentation of data, including modern tools...

    Published April 26th 2010 by Chapman and Hall/CRC

  8. Modeling and Analysis of Stochastic Systems, Second Edition

    By Vidyadhar G. Kulkarni

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Based on the author's more than 25 years of teaching experience, Modeling and Analysis of Stochastic Systems, Second Edition covers the most important classes of stochastic processes used in the modeling of diverse systems, from supply chains and inventory systems to genetics and biological systems...

    Published December 18th 2009 by Chapman and Hall/CRC

  9. Stochastic Processes

    An Introduction, Second Edition

    By Peter Watts Jones, Peter Smith

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Based on a highly popular, well-established course taught by the authors, Stochastic Processes: An Introduction, Second Edition discusses the modeling and analysis of random experiments using the theory of probability. It focuses on the way in which the results or outcomes of experiments vary and...

    Published October 9th 2009 by Chapman and Hall/CRC

  10. An Introduction to Statistical Inference and Its Applications with R

    By Michael W. Trosset

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Emphasizing concepts rather than recipes, An Introduction to Statistical Inference and Its Applications with R provides a clear exposition of the methods of statistical inference for students who are comfortable with mathematical notation. Numerous examples, case studies, and exercises are included...

    Published June 23rd 2009 by Chapman and Hall/CRC