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Statistics & Computing Books

You are currently browsing 11–20 of 165 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. An Introduction to Stata for Health Researchers, Fourth Edition

    By Svend Juul, Morten Frydenberg

    An Introduction to Stata for Health Researchers, Fourth Edition methodically covers data management, simple description and analysis, and more advanced analyses often used in health research, including regression models, survival analysis, and evaluation of diagnostic methods. A chapter on graphics...

    Published March 20th 2014 by Stata Press

  2. Statistics in Action

    A Canadian Outlook

    Edited by Jerald F. Lawless

    Commissioned by the Statistical Society of Canada (SSC), Statistics in Action: A Canadian Outlook helps both general readers and users of statistics better appreciate the scope and importance of statistics. It presents the ways in which statistics is used while highlighting key contributions that...

    Published March 2nd 2014 by Chapman and Hall/CRC

  3. 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 23rd 2014 by Chapman and Hall/CRC

  4. 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 27th 2014 by Chapman and Hall/CRC

  5. 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 19th 2013 by Chapman and Hall/CRC

  6. 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 8th 2013 by Chapman and Hall/CRC

  7. 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 8th 2013 by Chapman and Hall/CRC

  8. 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 3rd 2013 by Chapman and Hall/CRC

  9. 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 October 31st 2013 by Chapman and Hall/CRC

  10. 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 24th 2013 by Chapman and Hall/CRC