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Forthcoming Statistics & Computing Books

You are currently browsing 1–10 of 20 forthcoming new books in the subject of Statistics & Computing — sorted by publish date from upcoming books to future books.

For books that are already published; please browse available books.

Forthcoming Books

  1. Robust Cluster Analysis and Variable Selection

    By Gunter Ritter

    Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

    Clustering remains a vibrant area of research in statistics. Although there are many books on this topic, there are relatively few that are well founded in the theoretical aspects. In Robust Cluster Analysis and Variable Selection, Gunter Ritter presents an overview of the theory and applications...

    To Be Published September 4th 2014 by Chapman and Hall/CRC

  2. Multiple Factor Analysis by Example Using R

    By Jérôme Pagès

    Series: Chapman & Hall/CRC The R Series

    Multiple factor analysis (MFA) enables users to analyze tables of individuals and variables in which the variables are structured into quantitative, qualitative, or mixed groups. Written by the co-developer of this methodology, Multiple Factor Analysis by Example Using R brings together the...

    To Be Published September 22nd 2014 by Chapman and Hall/CRC

  3. Analyzing Sensory Data with R

    By Sebastien Le, Thierry Worch

    Series: Chapman & Hall/CRC The R Series

    Choose the Proper Statistical Method for Your Sensory Data Issue Analyzing Sensory Data with R gives you the foundation to analyze and interpret sensory data. The book helps you find the most appropriate statistical method to tackle your sensory data issue. Covering quantitative, qualitative,...

    To Be Published October 1st 2014 by Chapman and Hall/CRC

  4. Advanced R

    By Hadley Wickham

    Series: Chapman & Hall/CRC The R Series

    An Essential Reference for Intermediate and Advanced R Programmers Advanced R presents useful tools and techniques for attacking many types of R programming problems, helping you avoid mistakes and dead ends. With more than ten years of experience programming in R, the author illustrates the...

    To Be Published October 6th 2014 by Chapman and Hall/CRC

  5. Nonparametric Statistical Methods Using R

    By John Kloke, Joseph W. McKean

    Series: Chapman & Hall/CRC The R Series

    Focusing on robust rank-based nonparametric methods, this book covers rank-based fitting and testing for models ranging from simple location models to general linear models for uncorrelated and correlated responses. Illustrated with real data examples using R, each chapter includes a short problem...

    To Be Published October 21st 2014 by Chapman and Hall/CRC

  6. Using R and RStudio for Data Management, Statistical Analysis and Graphics, Second Edition

    By Nicholas J. Horton, Ken Kleinman

    This is the second edition of the popular book on using R for statistical analysis and graphics. The authors, who run a popular blog supplementing their books, have focused on adding many new examples to this new edition. These examples are presented primarily in new chapters based on the following...

    To Be Published February 15th 2015 by Chapman and Hall/CRC

  7. Producing High-Quality Figures Using SAS/GRAPH® and ODS Graphics Procedures

    By Charlie Chunhua Liu

    This book explains how to produce high-quality figures using SAS/GRAPH®, particularly for producing figures in various vector formats (such as ps, eps, and emf) and choosing the right fonts in GOPTIONS. With SAS programs included, the book illustrates how to produce a variety of different types of...

    To Be Published February 18th 2015 by Chapman and Hall/CRC

  8. Parallel Computation in Data Science

    With Examples in R

    By Norman Matloff

    Series: Chapman & Hall/CRC The R Series

    With a focus on multicore machines and clusters as well as GPU computing, this book covers parallel R in the broad context of the general principles of parallel computing. It gives concrete technical details on the various packages and methods of parallel computation in R, along with numerous...

    To Be Published February 26th 2015 by Chapman and Hall/CRC

  9. Current Trends in Bayesian Methodology with Applications

    Edited by Satyanshu Kumar Upadhyay, Umesh Singh, Dipak K. Dey, Appaia Loganathan

    This book provides a comprehensive survey in one place of recent results in these areas: Novel Bayesian Modeling; Spatio-temporal modeling; Data mining and machine learning; Bayesian non-parametric methods; Neuroimaging and Image analysis; Meta analysis; Survival analysis; Bayesian econometrics;...

    To Be Published April 15th 2015 by Chapman and Hall/CRC