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Linear Models for Multivariate, Time Series, and Spatial Data

  • Ronald Christensen

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

Table of contents

  1. Front Matter
    Pages i-xii
  2. Ronald Christensen
    Pages 1-68
  3. Ronald Christensen
    Pages 69-106
  4. Ronald Christensen
    Pages 107-146
  5. Ronald Christensen
    Pages 147-193
  6. Ronald Christensen
    Pages 194-261
  7. Ronald Christensen
    Pages 262-299
  8. Back Matter
    Pages 300-318

About this book

Introduction

This is a companion volume to Plane Answers to Complex Questions: The Theory 0/ Linear Models. It consists of six additional chapters written in the same spirit as the last six chapters of the earlier book. Brief introductions are given to topics related to linear model theory. No attempt is made to give a comprehensive treatment of the topics. Such an effort would be futile. Each chapter is on a topic so broad that an in depth discussion would require a book-Iength treatment. People need to impose structure on the world in order to understand it. There is a limit to the number of unrelated facts that anyone can remem­ ber. If ideas can be put within a broad, sophisticatedly simple structure, not only are they easier to remember but often new insights become avail­ able. In fact, sophisticatedly simple models of the world may be the only ones that work. I have often heard Arnold Zellner say that, to the best of his knowledge, this is true in econometrics. The process of modeling is fundamental to understanding the world.

Keywords

Covariance matrix Factor analysis Logistic Regression Observable Time series Variance analysis of variance data analysis

Authors and affiliations

  • Ronald Christensen
    • 1
  1. 1.Department of Mathematics and StatisticsUniversity of New MexicoAlbuquerqueUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4757-4103-2
  • Copyright Information Springer-Verlag New York 1991
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4757-4105-6
  • Online ISBN 978-1-4757-4103-2
  • Series Print ISSN 1431-875X
  • Buy this book on publisher's site