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Regression Analysis and Multivariate Statistics Books

You are currently browsing 41–50 of 94 new and published books in the subject of Regression Analysis and Multivariate Statistics — 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 5

  1. Applied Survey Data Analysis

    By Steven G. Heeringa, Brady T. West, Patricia A. Berglund

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

    Taking a practical approach that draws on the authors’ extensive teaching, consulting, and research experiences, Applied Survey Data Analysis provides an intermediate-level statistical overview of the analysis of complex sample survey data. It emphasizes methods and worked examples using available...

    Published April 4th 2010 by Chapman and Hall/CRC

  2. Applied Statistical Inference with MINITAB®

    By Sally Lesik

    Series: Statistics: A Series of Textbooks and Monographs

    Through clear, step-by-step mathematical calculations, Applied Statistical Inference with MINITAB enables students to gain a solid understanding of how to apply statistical techniques using a statistical software program. It focuses on the concepts of confidence intervals, hypothesis testing,...

    Published December 20th 2009 by Chapman and Hall/CRC

  3. Approaching Multivariate Analysis, 2nd Edition

    A Practical Introduction

    By Pat Dugard, John Todman, Harry Staines

    This fully updated new edition not only provides an introduction to a range of advanced statistical techniques that are used in psychology, but has been expanded to include new chapters describing methods and examples of particular interest to medical researchers. It takes a very practical approach...

    Published November 26th 2009 by Routledge

  4. Linear Model Methodology

    By Andre I. Khuri

    Given the importance of linear models in statistical theory and experimental research, a good understanding of their fundamental principles and theory is essential. Supported by a large number of examples, Linear Model Methodology provides a strong foundation in the theory of linear models and...

    Published October 20th 2009 by Chapman and Hall/CRC

  5. Multivariable Modeling and Multivariate Analysis for the Behavioral Sciences

    By Brian S. Everitt

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

    Multivariable Modeling and Multivariate Analysis for the Behavioral Sciences shows students how to apply statistical methods to behavioral science data in a sensible manner. Assuming some familiarity with introductory statistics, the book analyzes a host of real-world data to provide useful answers...

    Published September 27th 2009 by CRC Press

  6. Foundations of Factor Analysis, Second Edition

    By Stanley A Mulaik

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

    Providing a practical, thorough understanding of how factor analysis works, Foundations of Factor Analysis, Second Edition discusses the assumptions underlying the equations and procedures of this method. It also explains the options in commercial computer programs for performing factor analysis...

    Published September 24th 2009 by Chapman and Hall/CRC

  7. Linear Causal Modeling with Structural Equations

    By Stanley A. Mulaik

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

    Emphasizing causation as a functional relationship between variables that describe objects, Linear Causal Modeling with Structural Equations integrates a general philosophical theory of causation with structural equation modeling (SEM) that concerns the special case of linear causal relations. In...

    Published June 15th 2009 by Chapman and Hall/CRC

  8. Applied Multivariate Statistics for the Social Sciences, Fifth Edition

    By James P. Stevens

    This best-selling text is written for those who use, rather than develop statistical methods. Dr. Stevens focuses on a conceptual understanding of the material rather than on proving results. Helpful narrative and numerous examples enhance understanding and a chapter on matrix algebra serves as a...

    Published February 22nd 2009 by Routledge

  9. Bayesian Methods for Measures of Agreement

    By Lyle D. Broemeling

    Series: Chapman & Hall/CRC Biostatistics Series

    Using WinBUGS to implement Bayesian inferences of estimation and testing hypotheses, Bayesian Methods for Measures of Agreement presents useful methods for the design and analysis of agreement studies. It focuses on agreement among the various players in the diagnostic process. The author employs...

    Published January 11th 2009 by Chapman and Hall/CRC

  10. Longitudinal Data Analysis

    Edited by Garrett Fitzmaurice, Marie Davidian, Geert Verbeke, Geert Molenberghs

    Series: Chapman & Hall/CRC Handbooks of Modern Statistical Methods

    Although many books currently available describe statistical models and methods for analyzing longitudinal data, they do not highlight connections between various research threads in the statistical literature. Responding to this void, Longitudinal Data Analysis provides a clear, comprehensive, and...

    Published August 10th 2008 by Chapman and Hall/CRC