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Introduction

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

Abstract

This chapter introduces the general linear model, illustrating how it subsumes a variety of standard applied models. It also introduces random vectors and matrices and the distributions that will be used with them. Finally, it introduces generalized linear models, which are different from general linear models. It is important to be familiar with the background in Appendices A through E before getting into the book.

References

  1. Christensen, R. (1997). Log-linear models and logistic regression (2nd ed.). New York: Springer.zbMATHGoogle Scholar
  2. McCullagh, P., & Nelder, J. A. (1989). Generalized linear models (2nd ed.). London: Chapman and Hall.CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of Mathematics and StatisticsUniversity of New MexicoAlbuquerqueUSA

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