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Linear regression
Overview of attention for book
Table of Contents
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Book Overview
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Chapter 1
Fundamentals
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Chapter 2
The Linear Regression Model
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Chapter 3
Alternative Estimators
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Chapter 4
Linear Admissibility
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Chapter 5
The Covariance Matrix of the Error Vector
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Chapter 6
Regression Diagnostics
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Chapter 7
Matrix Algebra
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Chapter 8
Stochastic Vectors
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Chapter 9
An Example Analysis with R
Overall attention for this book and its chapters
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Mentioned by
syllabi
2
institutions with syllabi
Citations
dimensions_citation
103
Dimensions
Readers on
mendeley
6
Mendeley
Book overview
1. Fundamentals
2. The Linear Regression Model
3. Alternative Estimators
4. Linear Admissibility
5. The Covariance Matrix of the Error Vector
6. Regression Diagnostics
7. Matrix Algebra
8. Stochastic Vectors
9. An Example Analysis with R
Summary
Syllabi
Dimensions citations
This data is correct as of December 2015 - for more up to date information, please visit
https://opensyllabus.org/
So far, Altmetric has seen this research output assigned in
4
syllabi from
2
institutions on Open Syllabus Project.
Institution
Syllabi count
Course subject areas covered
University of California-Los Angeles
2
Unknown
Washington University in St Louis
2
Unknown