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Applied Multivariate Data Analysis

Volume II: Categorical and Multivariate Methods

  • Textbook
  • © 1992

Overview

Authors:
  1. J. D. Jobson

    1. Faculty of Business, University of Alberta, Edmonton, Canada

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Part of the book series: Springer Texts in Statistics (STS)

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Table of contents (5 chapters)

  1. Front Matter

    Pages i-xxix
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  2. Contingency Tables

    • J. D. Jobson
    Pages 1-129

  3. Multivariate Distributions, Inference, Regression and Canonical Correlation

    • J. D. Jobson
    Pages 131-207

  4. MANOVA, Discriminant Analysis and Qualitative Response Models

    • J. D. Jobson
    Pages 209-344

  5. Principal Components, Factors and Correspondence Analysis

    • J. D. Jobson
    Pages 345-482

  6. Cluster Analysis and Multidimensional Scaling

    • J. D. Jobson
    Pages 483-616

  7. Back Matter

    Pages 617-732
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Keywords

About this book

A Second Course in Statistics The past decade has seen a tremendous increase in the use of statistical data analysis and in the availability of both computers and statistical software. Business and government professionals, as well as academic researchers, are now regularly employing techniques that go far beyond the standard two-semester, introductory course in statistics. Even though for this group of users shorl courses in various specialized topics are often available, there is a need to improve the statistics training of future users of statistics while they are still at colleges and universities. In addition, there is a need for a survey reference text for the many practitioners who cannot obtain specialized courses. With the exception of the statistics major, most university students do not have sufficient time in their programs to enroll in a variety of specialized one-semester courses, such as data analysis, linear models, experimental de­ sign, multivariate methods, contingency tables, logistic regression, and so on. There is a need for a second survey course that covers a wide variety of these techniques in an integrated fashion. It is also important that this sec­ ond course combine an overview of theory with an opportunity to practice, including the use of statistical software and the interpretation of results obtained from real däta.

Reviews

"On the whole this volume on applied multivariate data analysis is a comprehensive treatise which will support students and teachers to a full extent in their coursework and researchers will find an easy ready-made material for the analysis of their multivariate data to arrive at correct conclusions. This is a masterpiece text." (Zentralblatt fuer Mathematik)

Authors and Affiliations

  • Faculty of Business, University of Alberta, Edmonton, Canada

    J. D. Jobson

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