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Linear Models in Matrix Form

Overview of attention for book
Cover of 'Linear Models in Matrix Form'

Table of Contents

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    Book Overview
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    Chapter 1 Matrix Properties and Operations
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    Chapter 2 Simple Linear Regression
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    Chapter 3 Maximum-Likelihood Estimation
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    Chapter 4 Multiple Regression
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    Chapter 5 Matrix Decompositions
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    Chapter 6 Problematic Observations
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    Chapter 7 Errors and Residuals
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    Chapter 8 Linearizing Transformations and Nonparametric Smoothers
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    Chapter 9 Cross-Product Terms and Interactions
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    Chapter 10 Polynomial Regression
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    Chapter 11 Categorical Predictors
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    Chapter 12 Factorial Designs
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    Chapter 13 Analysis of Covariance
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    Chapter 14 Moderation
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    Chapter 15 Mediation
Attention for Chapter 10: Polynomial Regression
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