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Regression Analysis and Multivariate Statistics Books

You are currently browsing 51–60 of 103 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 6

  1. Choice-Based Conjoint Analysis

    Models and Designs

    By Damaraju Raghavarao, James B. Wiley, Pallavi Chitturi

    Conjoint analysis (CA) and discrete choice experimentation (DCE) are tools used in marketing, economics, transportation, health, tourism, and other areas to develop and modify products, services, policies, and programs, specifically ones that can be described in terms of attributes. A specific...

    Published August 2nd 2010 by Chapman and Hall/CRC

  2. Nonparametric Statistical Inference, Fifth Edition

    By Jean Dickinson Gibbons, Subhabrata Chakraborti

    Series: Statistics: Textbooks & Monographs

    Proven Material for a Course on the Introduction to the Theory and/or on the Applications of Classical Nonparametric Methods Since its first publication in 1971, Nonparametric Statistical Inference has been widely regarded as the source for learning about nonparametric statistics. The fifth edition...

    Published July 25th 2010 by Chapman and Hall/CRC

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

Forthcoming Books

  1. Network and Adaptive Sampling
    By Arijit Chaudhuri
    To Be Published August 24th 2014
  2. Multiple Factor Analysis by Example Using R
    By Jérôme Pagès
    To Be Published September 21st 2014
  3. Analyzing Sensory Data with R
    By Sebastien Le, Thierry Worch
    To Be Published September 30th 2014
  4. Statistical Methods in Psychiatry Research and SPSS
    By M. Venkataswamy Reddy
    To Be Published October 9th 2014
  5. The Synoptic Problem and Statistics
    By Andris Abakuks
    To Be Published October 13th 2014

Find more forthcoming books