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Applied Multivariate Data Analysis

Regression and Experimental Design

  • J. D. Jobson

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

Table of contents

  1. Front Matter
    Pages i-xxv
  2. J. D. Jobson
    Pages 1-32
  3. J. D. Jobson
    Pages 33-86
  4. J. D. Jobson
    Pages 219-398
  5. Back Matter
    Pages 545-622

About this book

Introduction

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.

Keywords

Analysis Analysis of variance STATISTICA data analysis linear algebra linear regression statistical software statistics

Authors and affiliations

  • J. D. Jobson
    • 1
  1. 1.Faculty of BusinessUniversity of AlbertaEdmontonCanada

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4612-0955-3
  • Copyright Information Springer-Verlag New York, Inc. 1991
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4612-6960-1
  • Online ISBN 978-1-4612-0955-3
  • Series Print ISSN 1431-875X
  • Buy this book on publisher's site