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.
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References
Christensen, R. (1997). Log-linear models and logistic regression (2nd ed.). New York: Springer.
McCullagh, P., & Nelder, J. A. (1989). Generalized linear models (2nd ed.). London: Chapman and Hall.
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Christensen, R. (2020). Introduction. In: Plane Answers to Complex Questions. Springer Texts in Statistics. Springer, Cham. https://doi.org/10.1007/978-3-030-32097-3_1
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DOI: https://doi.org/10.1007/978-3-030-32097-3_1
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