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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

41-50 of 93 results in Chapman & Hall/CRC Texts in Statistical Science
  1. 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

  2. Statistics in Human Genetics and Molecular Biology

    By Cavan Reilly

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Focusing on the roles of different segments of DNA, Statistics in Human Genetics and Molecular Biology provides a basic understanding of problems arising in the analysis of genetics and genomics. It presents statistical applications in genetic mapping, DNA/protein sequence alignment, and analyses...

    Published June 19th 2009 by Chapman and Hall/CRC

  3. Logistic Regression Models

    By Joseph M. Hilbe

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Logistic Regression Models presents an overview of the full range of logistic models, including binary, proportional, ordered, partially ordered, and unordered categorical response regression procedures. Other topics discussed include panel, survey, skewed, penalized, and exact logistic models. The...

    Published May 11th 2009 by Chapman and Hall/CRC

  4. Applied Stochastic Modelling, Second Edition

    By Byron J.T. Morgan

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Highlighting modern computational methods, Applied Stochastic Modelling, Second Edition provides students with the practical experience of scientific computing in applied statistics through a range of interesting real-world applications. It also successfully revises standard probability and...

    Published December 2nd 2008 by Chapman and Hall/CRC

  5. Bayesian Methods for Data Analysis, Third Edition

    By Bradley P. Carlin, Thomas A. Louis

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Broadening its scope to nonstatisticians, Bayesian Methods for Data Analysis, Third Edition provides an accessible introduction to the foundations and applications of Bayesian analysis. Along with a complete reorganization of the material, this edition concentrates more on hierarchical Bayesian...

    Published June 30th 2008 by Chapman and Hall/CRC

  6. Polya Urn Models

    By Hosam Mahmoud

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Incorporating a collection of recent results, Pólya Urn Models deals with discrete probability through the modern and evolving urn theory and its numerous applications. The book first substantiates the realization of distributions with urn arguments and introduces several modern tools, including...

    Published June 30th 2008 by Chapman and Hall/CRC

  7. An Introduction to Generalized Linear Models, Third Edition

    By Annette J. Dobson, Adrian Barnett

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Continuing to emphasize numerical and graphical methods, An Introduction to Generalized Linear Models, Third Edition provides a cohesive framework for statistical modeling. This new edition of a bestseller has been updated with Stata, R, and WinBUGS code as well as three new chapters on Bayesian...

    Published May 12th 2008 by Chapman and Hall/CRC

  8. A Primer on Linear Models

    By John F. Monahan

    Series: Chapman & Hall/CRC Texts in Statistical Science

    A Primer on Linear Models presents a unified, thorough, and rigorous development of the theory behind the statistical methodology of regression and analysis of variance (ANOVA). It seamlessly incorporates these concepts using non-full-rank design matrices and emphasizes the exact, finite sample...

    Published March 31st 2008 by Chapman and Hall/CRC

  9. Introduction to Probability with R

    By Kenneth Baclawski

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Based on a popular course taught by the late Gian-Carlo Rota of MIT, with many new topics covered as well, Introduction to Probability with R presents R programs and animations to provide an intuitive yet rigorous understanding of how to model natural phenomena from a probabilistic point of view....

    Published January 24th 2008 by Chapman and Hall/CRC

  10. Time Series Analysis

    By Henrik Madsen

    Series: Chapman & Hall/CRC Texts in Statistical Science

    With a focus on analyzing and modeling linear dynamic systems using statistical methods, Time Series Analysis formulates various linear models, discusses their theoretical characteristics, and explores the connections among stochastic dynamic models. Emphasizing the time domain description, the...

    Published November 28th 2007 by Chapman and Hall/CRC