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Forthcoming Statistics & Computing Books

You are currently browsing 1–10 of 25 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. SAS and R

    Data Management, Statistical Analysis, and Graphics, Second Edition

    By Ken Kleinman, Nicholas J. Horton

    An Up-to-Date, All-in-One Resource for Using SAS and R to Perform Frequent TasksThe first edition of this popular guide provided a path between SAS and R using an easy-to-understand, dictionary-like approach. Retaining the same accessible format, SAS and R: Data Management, Statistical Analysis,...

    To Be Published July 31st 2014 by Chapman and Hall/CRC

  2. Analysis of Categorical Data with R

    By Christopher R. Bilder, Thomas M. Loughin

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Learn How to Properly Analyze Categorical DataAnalysis of Categorical Data with R presents a modern account of categorical data analysis using the popular R software. It covers recent techniques of model building and assessment for binary, multicategory, and count response variables and discusses...

    To Be Published August 7th 2014 by Chapman and Hall/CRC

  3. Statistical Inference

    An Integrated Approach, Second Edition

    By Helio S. Migon, Dani Gamerman, Francisco Louzada

    Series: Chapman & Hall/CRC Texts in Statistical Science

    A Balanced Treatment of Bayesian and Frequentist Inference Statistical Inference: An Integrated Approach, Second Edition presents an account of the Bayesian and frequentist approaches to statistical inference. Now with an additional author, this second edition places a more balanced emphasis on...

    To Be Published August 10th 2014 by Chapman and Hall/CRC

  4. 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 August 11th 2014 by Chapman and Hall/CRC

  5. 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, and although there are many books on this topic, there are relatively few that are well-founded in the theoretical aspects. This book overviews the theory and applications of robust clustering and selection, synthesizing the key research...

    To Be Published August 27th 2014 by Chapman and Hall/CRC

  6. A Handbook of Statistical Graphics Using SAS ODS

    By Geoff Der, Brian S. Everitt

    Easily Use SAS to Produce Your Graphics Diagrams, plots, and other types of graphics are indispensable components in nearly all phases of statistical analysis, from the initial assessment of the data to the selection of appropriate statistical models to the diagnosis of the chosen models once they...

    To Be Published August 28th 2014 by Chapman and Hall/CRC

  7. 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 September 14th 2014 by Chapman and Hall/CRC

  8. Nonparametric Statistical Methods Using R

    By John Kloke, Joseph 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 20th 2014 by Chapman and Hall/CRC

  9. Advanced R

    By Hadley Wickham

    Series: Chapman & Hall/CRC The R Series

    This book focuses on the skills needed to be an advanced R developer, producing reproducible code that can be used in a wide variety of circumstances. Covering the fundamentals of R, the book explains how to represent complex data types, simplify the operations performed on them, and override...

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

  10. A Practical Guide to Producing High-Quality Figures Using SAS/GRAPH®

    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 January 14th 2015 by Chapman and Hall/CRC