Skip to Content

Books by Subject

Statistics & Computing Books

You are currently browsing 1–10 of 168 new and published books in the subject of Statistics & Computing — sorted by publish date from newer books to older books.

For books that are not yet published; please browse forthcoming books.

New and Published Books – Page 1

  1. Regression Models for Categorical Dependent Variables Using Stata, Third Edition

    By J. Scott Long, Jeremy Freese

    Regression Models for Categorical Dependent Variables Using Stata, Third Edition shows how to use Stata to fit and interpret regression models for categorical data. The third edition is a complete rewrite of the book. Factor variables and the margins command changed how the effects of variables can...

    Published September 10th 2014 by Stata Press

  2. 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...

    Published September 3rd 2014 by Chapman and Hall/CRC

  3. 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...

    Published September 2nd 2014 by Chapman and Hall/CRC

  4. 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...

    Published August 15th 2014 by Chapman and Hall/CRC

  5. 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...

    Published August 11th 2014 by Chapman and Hall/CRC

  6. 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,...

    Published July 17th 2014 by Chapman and Hall/CRC

  7. Statistical Studies of Income, Poverty and Inequality in Europe

    Computing and Graphics in R using EU-SILC

    By Nicholas T. Longford

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

    There is no shortage of incentives to study and reduce poverty in our societies. Poverty is studied in economics and political sciences, and population surveys are an important source of information about it. The design and analysis of such surveys is principally a statistical subject matter and...

    Published July 7th 2014 by Chapman and Hall/CRC

  8. Using R for Introductory Statistics, Second Edition

    By John Verzani

    Series: Chapman & Hall/CRC The R Series

    The second edition of a bestselling textbook, Using R for Introductory Statistics guides students through the basics of R, helping them overcome the sometimes steep learning curve. The author does this by breaking the material down into small, task-oriented steps. The second edition maintains the...

    Published June 26th 2014 by Chapman and Hall/CRC

  9. A Handbook of Statistical Analyses using R, Third Edition

    By Torsten Hothorn, Brian S. Everitt

    Like the best-selling first two editions, A Handbook of Statistical Analyses using R, Third Edition provides an up-to-date guide to data analysis using the R system for statistical computing. The book explains how to conduct a range of statistical analyses, from simple inference to recursive...

    Published June 25th 2014 by Chapman and Hall/CRC

  10. Introduction to Scientific Programming and Simulation Using R, Second Edition

    By Owen Jones, Robert Maillardet, Andrew Robinson

    Series: Chapman & Hall/CRC The R Series

    Learn How to Program Stochastic Models Highly recommended, the best-selling first edition of Introduction to Scientific Programming and Simulation Using R was lauded as an excellent, easy-to-read introduction with extensive examples and exercises. This second edition continues to introduce...

    Published June 12th 2014 by Chapman and Hall/CRC

Forthcoming Books

  1. Advanced R
    By Hadley Wickham
    To Be Published October 2nd 2014
  2. Nonparametric Statistical Methods Using R
    By John Kloke, Joseph W. McKean
    To Be Published October 14th 2014
  3. Analyzing Sensory Data with R
    By Sebastien Le, Thierry Worch
    To Be Published October 15th 2014
  4. Multiple Factor Analysis by Example Using R
    By Jérôme Pagès
    To Be Published October 20th 2014
  5. Producing High-Quality Figures Using SAS/GRAPH® and ODS Graphics Procedures
    By Charlie Chunhua Liu
    To Be Published February 17th 2015

Find more forthcoming books