Chapman & Hall/CRC Texts in Statistical Science

New and Published Books

11-20 of 79 results in Chapman & Hall/CRC Texts in Statistical Science

11. 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 17th 2011 by Chapman and Hall/CRC
12. Introduction to Statistical Limit Theory

    By Alan M. Polansky

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Helping students develop a good understanding of asymptotic theory, Introduction to Statistical Limit Theory provides a thorough yet accessible treatment of common modes of convergence and their related tools used in statistics. It also discusses how the results can be applied to several common...

    Published January 6th 2011 by Chapman and Hall/CRC
13. 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 8th 2010 by CRC Press
14. 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 8th 2010 by Chapman and Hall/CRC
15. 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 26th 2010 by Chapman and Hall/CRC
16. Bayesian Ideas and Data Analysis

    An Introduction for Scientists and Statisticians

    By Ronald Christensen, Wesley O. Johnson, Adam J. 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 1st 2010 by CRC Press
17. 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 20th 2010 by Chapman and Hall/CRC
18. 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 3rd 2010 by Chapman and Hall/CRC
19. 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 25th 2010 by Chapman and Hall/CRC
20. 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 17th 2009 by Chapman and Hall/CRC