Skip to Content

Books by Subject

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. 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 2nd 2014 by Chapman and Hall/CRC

  2. Nonparametric Statistical Methods Using R

    By John Kloke, Joseph W. McKean

    Series: Chapman & Hall/CRC The R Series

    A Practical Guide to Implementing Nonparametric and Rank-Based Procedures Nonparametric Statistical Methods Using R covers traditional nonparametric methods and rank-based analyses, including estimation and inference for models ranging from simple location models to general linear and nonlinear...

    To Be Published October 14th 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 15th 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 October 20th 2014 by Chapman and Hall/CRC

  5. 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 17th 2015 by Chapman and Hall/CRC

  6. 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 25th 2015 by Chapman and Hall/CRC

  7. 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 March 14th 2015 by Chapman and Hall/CRC

  8. Biostatistics in Action

    Basic and Advanced Statistical Modeling Using SPSS

    By Florin Vaida, Anya Umlauf

    Designed for medical researchers without a background in statistics, this text takes readers easily from basic boxplots and t-tests to linear and logistic regression and survival analysis to more complex generalized linear and nonlinear models and longitudinal data analysis. With many examples and...

    To Be Published May 14th 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 May 14th 2015 by Chapman and Hall/CRC

  10. Handling Missing Data in Social Research

    By Scott M. Lynch, J. Scott Brown

    Series: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences

    For social scientists, it is often confusing how to determine when missing data is a problem in analyses and how to handle it. This book presents a comprehensive overview of the available methods, focusing on which method should be used for specific problems. It features numerous real and simulated...

    To Be Published June 14th 2015 by Chapman and Hall/CRC