Skip to Content

Books by Subject

Statistics & Computing Books

You are currently browsing 11–20 of 164 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 2

  1. Growth Curve Analysis and Visualization Using R

    By Daniel Mirman

    Series: Chapman & Hall/CRC The R Series

    Learn How to Use Growth Curve Analysis with Your Time Course Data An increasingly prominent statistical tool in the behavioral sciences, multilevel regression offers a statistical framework for analyzing longitudinal or time course data. It also provides a way to quantify and analyze individual...

    Published February 24th 2014 by Chapman and Hall/CRC

  2. Quasi-Least Squares Regression

    By Justine Shults, Joseph M. Hilbe

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

    Drawing on the authors’ substantial expertise in modeling longitudinal and clustered data, Quasi-Least Squares Regression provides a thorough treatment of quasi-least squares (QLS) regression—a computational approach for the estimation of correlation parameters within the framework of generalized...

    Published January 28th 2014 by Chapman and Hall/CRC

  3. Bayesian Programming

    By Pierre Bessiere, Emmanuel Mazer, Juan Manuel Ahuactzin, Kamel Mekhnacha

    Series: Chapman & Hall/CRC Machine Learning & Pattern Recognition

    Probability as an Alternative to Boolean LogicWhile logic is the mathematical foundation of rational reasoning and the fundamental principle of computing, it is restricted to problems where information is both complete and certain. However, many real-world problems, from financial investments to...

    Published December 20th 2013 by Chapman and Hall/CRC

  4. Foundations of Statistical Algorithms

    With References to R Packages

    By Claus Weihs, Olaf Mersmann, Uwe Ligges

    Series: Chapman & Hall/CRC Computer Science & Data Analysis

    A new and refreshingly different approach to presenting the foundations of statistical algorithms, Foundations of Statistical Algorithms: With References to R Packages reviews the historical development of basic algorithms to illuminate the evolution of today’s more powerful statistical algorithms....

    Published December 9th 2013 by Chapman and Hall/CRC

  5. Nonparametric Statistics for Social and Behavioral Sciences

    By M. Kraska-MIller

    Incorporating a hands-on pedagogical approach, Nonparametric Statistics for Social and Behavioral Sciences presents the concepts, principles, and methods used in performing many nonparametric procedures. It also demonstrates practical applications of the most common nonparametric procedures using...

    Published December 9th 2013 by Chapman and Hall/CRC

  6. Richly Parameterized Linear Models

    Additive, Time Series, and Spatial Models Using Random Effects

    By James S. Hodges

    Series: Chapman & Hall/CRC Texts in Statistical Science

    A First Step toward a Unified Theory of Richly Parameterized Linear Models Using mixed linear models to analyze data often leads to results that are mysterious, inconvenient, or wrong. Further compounding the problem, statisticians lack a cohesive resource to acquire a systematic, theory-based...

    Published November 4th 2013 by Chapman and Hall/CRC

  7. Bayesian Data Analysis, Third Edition

    By Andrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari, Donald B. Rubin

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data Analysis, Third Edition continues to take an applied approach to analysis using...

    Published November 1st 2013 by Chapman and Hall/CRC

  8. Handbook of Univariate and Multivariate Data Analysis with IBM SPSS, Second Edition

    By Robert Ho

    Using the same accessible, hands-on approach as its best-selling predecessor, the Handbook of Univariate and Multivariate Data Analysis with IBM SPSS, Second Edition explains how to apply statistical tests to experimental findings, identify the assumptions underlying the tests, and interpret the...

    Published October 25th 2013 by Chapman and Hall/CRC

  9. Discovering Structural Equation Modeling Using Stata 13 (Revised Edition)

    By Alan C. Acock

    Discovering Structural Equation Modeling Using Stata, Revised Edition is devoted to Stata’s sem command and all it can do. Learn about its capabilities in the context of confirmatory factor analysis, path analysis, structural equation modeling, longitudinal models, and multiple-group analysis. Each...

    Published September 10th 2013 by Stata Press

  10. Nonparametric Methods in Statistics with SAS Applications

    By Olga Korosteleva

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Designed for a graduate course in applied statistics, Nonparametric Methods in Statistics with SAS Applications teaches students how to apply nonparametric techniques to statistical data. It starts with the tests of hypotheses and moves on to regression modeling, time-to-event analysis, density...

    Published August 19th 2013 by Chapman and Hall/CRC