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Regression Analysis and Multivariate Statistics Books

You are currently browsing 11–20 of 99 new and published books in the subject of Regression Analysis and Multivariate Statistics — sorted by publish date from newer books to older books.

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New and Published Books – Page 2

  1. Image Statistics in Visual Computing

    By Tania Pouli, Erik Reinhard, Douglas W. Cunningham

    To achieve the complex task of interpreting what we see, our brains rely on statistical regularities and patterns in visual data. Knowledge of these regularities can also be considerably useful in visual computing disciplines, such as computer vision, computer graphics, and image processing. The...

    Published December 12th 2013 by A K Peters/CRC Press

  2. 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

  3. 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

  4. 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

  5. Constrained Principal Component Analysis and Related Techniques

    By Yoshio Takane

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

    In multivariate data analysis, regression techniques predict one set of variables from another while principal component analysis (PCA) finds a subspace of minimal dimensionality that captures the largest variability in the data. How can regression analysis and PCA be combined in a beneficial...

    Published October 23rd 2013 by Chapman and Hall/CRC

  6. 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 9th 2013 by Stata Press

  7. Generalized Linear Models for Categorical and Continuous Limited Dependent Variables

    By Michael Smithson, Edgar C. Merkle

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

    Generalized Linear Models for Categorical and Continuous Limited Dependent Variables is designed for graduate students and researchers in the behavioral, social, health, and medical sciences. It incorporates examples of truncated counts, censored continuous variables, and doubly bounded continuous...

    Published September 4th 2013 by Chapman and Hall/CRC

  8. 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 18th 2013 by Chapman and Hall/CRC

  9. New Developments in Categorical Data Analysis for the Social and Behavioral Sciences

    Edited by L. Andries van der Ark, Marcel A. Croon, Klaas Sijtsma

    Series: Quantitative Methodology Series

    Categorical data are quantified as either nominal variables--distinguishing different groups, for example, based on socio-economic status, education, and political persuasion--or ordinal variables--distinguishing levels of interest, such as the preferred politician or the preferred type of...

    Published July 8th 2013 by Psychology Press

  10. A Primer of Multivariate Statistics

    3rd Edition

    By Richard J. Harris

    Drawing upon more than 30 years of experience in working with statistics, Dr. Richard J. Harris has updated A Primer of Multivariate Statistics to provide a model of balance between how-to and why. This classic text covers multivariate techniques with a taste of latent variable approaches....

    Published June 2nd 2013 by Psychology Press