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Applied Multivariate Data Analysis

Regression and Experimental Design

  • Textbook
  • © 1991

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-xxv
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  2. Introduction

    • J. D. Jobson
    Pages 1-32

  3. Univariate Data Analysis

    • J. D. Jobson
    Pages 33-86

  4. Bivariate Analysis for Quantitative Random Variables

    • J. D. Jobson
    Pages 87-217

  5. Multiple Linear Regression

    • J. D. Jobson
    Pages 219-398

  6. Analysis of Variance and Experimental Design

    • J. D. Jobson
    Pages 399-544

  7. Back Matter

    Pages 545-622
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Keywords

About this book

An easy to read survey of data analysis, linear regression models and analysis of variance. The extensive development of the linear model includes the use of the linear model approach to analysis of variance provides a strong link to statistical software packages, and is complemented by a thorough overview of theory. It is assumed that the reader has the background equivalent to an introductory book in statistical inference. Can be read easily by those who have had brief exposure to calculus and linear algebra. Intended for first year graduate students in business, social and the biological sciences. Provides the student with the necessary statistics background for a course in research methodology. In addition, undergraduate statistics majors will find this text useful as a survey of linear models and their applications.

Reviews

"On the whole, this volume is an excellent compendium on the subject of statistics to serve as a textbook for a number of courses." (Zentralblatt fuer Mathematik)

Authors and Affiliations

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

    J. D. Jobson

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