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Syllabus: syllabus.pdf
Table of Contents |
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Exercises |
Review of Matrix Algebra |
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Chapter 1: The General Linear Model |
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Chapter 2: Generalizad least squares |
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Chapter 3: Introduction to GLms |
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Chapter 4: Binary data |
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Chapter 5: Nonparametric regression |
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Contents |
Date/Room |
Data |
Lab 1: Introduction to R Language |
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Lab 2: Multiple regression |
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Lab 3: Logistic regression |
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Contents |
Data |
Take-home 1 |
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Take-home 2 |
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Take-home 3 |
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