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Regression Analysis and Multivariate Statistics Books

You are currently browsing 41–50 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.

For books that are not yet published; please browse forthcoming books.

New and Published Books – Page 5

  1. Multivariate Generalized Linear Mixed Models Using R

    By Damon M. Berridge, Robert Crouchley

    Multivariate Generalized Linear Mixed Models Using R presents robust and methodologically sound models for analyzing large and complex data sets, enabling readers to answer increasingly complex research questions. The book applies the principles of modeling to longitudinal data from panel and...

    Published April 25th 2011 by CRC Press

  2. Randomized Response and Indirect Questioning Techniques in Surveys

    By Arijit Chaudhuri

    Series: Statistics: A Series of Textbooks and Monographs

    For surveys involving sensitive questions, randomized response techniques (RRTs) and other indirect questions are helpful in obtaining survey responses while maintaining the privacy of the respondents. Written by one of the leading experts in the world on RR, Randomized Response and Indirect...

    Published December 16th 2010 by Chapman and Hall/CRC

  3. Measures of Interobserver Agreement and Reliability, Second Edition

    By Mohamed M. Shoukri

    Series: Chapman & Hall/CRC Biostatistics Series

    Measures of Interobserver Agreement and Reliability, Second Edition covers important issues related to the design and analysis of reliability and agreement studies. It examines factors affecting the degree of measurement errors in reliability generalization studies and characteristics influencing...

    Published December 14th 2010 by CRC Press

  4. Categorical Data Analysis for the Behavioral and Social Sciences

    By Razia Azen, Cindy M. Walker

    Featuring a practical approach with numerous examples, this book focuses on helping the reader develop a conceptual, rather than technical, understanding of categorical methods, making it a much more accessible text than others on the market. The authors cover common categorical analyses and...

    Published December 7th 2010 by Routledge

  5. 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 3rd 2010 by Chapman and Hall/CRC

  6. 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 26th 2010 by Chapman and Hall/CRC

  7. 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 5th 2010 by Chapman and Hall/CRC

  8. 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 21st 2009 by Chapman and Hall/CRC

  9. 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 27th 2009 by Routledge

  10. 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 21st 2009 by Chapman and Hall/CRC