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Applied multivariate analysis
Overview of attention for book
Table of Contents
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Book Overview
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Chapter 1
Introduction
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Chapter 2
Vectors and Matrices
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Chapter 3
Multivariate Distributions and the Linear Model
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Chapter 4
Multivariate Regression Models
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Chapter 5
Seemingly Unrelated Regression Models
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Chapter 6
Multivariate Random and Mixed Models
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Chapter 7
Discriminant and Classification Analysis
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Chapter 8
Principal Component, Canonical Correlation, and Exploratory Factor Analysis
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Chapter 9
Cluster Analysis and Multidimensional Scaling
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Chapter 10
Structural Equation Models
Overall attention for this book and its chapters
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Mentioned by
twitter
1
X user
syllabi
2
institutions with syllabi
wikipedia
8
Wikipedia pages
Citations
dimensions_citation
49
Dimensions
Readers on
mendeley
41
Mendeley
Book overview
1. Introduction
2. Vectors and Matrices
3. Multivariate Distributions and the Linear Model
4. Multivariate Regression Models
5. Seemingly Unrelated Regression Models
6. Multivariate Random and Mixed Models
7. Discriminant and Classification Analysis
8. Principal Component, Canonical Correlation, and Exploratory Factor Analysis
9. Cluster Analysis and Multidimensional Scaling
10. Structural Equation Models
Summary
X
Syllabi
Wikipedia
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
2
syllabi from
2
institutions on Open Syllabus Project.
Institution
Syllabi count
Course subject areas covered
Roehampton University of Surrey
1
Unknown
Unknown
1
Unknown