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Theory for Linear Models

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Abstract

Theory for linear models is used to show that linear models have good statistical properties. Linear model theory previously proved in the text includes Propositions 2.1, 2.2, 2.3, 2.10, 3.1, 3.2, 4.1, 4.2, and Theorem 3.3. Some matrix manipulations are illustrated in Example 4.1. Unproved results include Propositions 2.4, 2.5, 2.6, 2.11, Theorems 2.6, 2.7, and 2.8.

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Olive, D.J. (2017). Theory for Linear Models. In: Linear Regression. Springer, Cham. https://doi.org/10.1007/978-3-319-55252-1_11

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