Matrix-Based Introduction to Multivariate Data Analysis
Kohei Adachi ()
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Kohei Adachi: Osaka University, Graduate School of Human Sciences
in Springer Books from Springer
Date: 2020
Edition: 2nd ed. 2020
ISBN: 978-981-15-4103-2
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Chapters in this book:
- Ch Chapter 1 Elementary Matrix Operations
- Kohei Adachi
- Ch Chapter 10 Confirmatory Factor Analysis
- Kohei Adachi
- Ch Chapter 11 Structural Equation Modeling
- Kohei Adachi
- Ch Chapter 12 Exploratory Factor Analysis (Part 1)
- Kohei Adachi
- Ch Chapter 13 Rotation Techniques
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- Ch Chapter 14 Canonical Correlation and Multiple Correspondence Analyses
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- Ch Chapter 15 Discriminant Analysis
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- Ch Chapter 16 Multidimensional Scaling
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- Ch Chapter 17 Advanced Matrix Operations
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- Ch Chapter 18 Exploratory Factor Analysis (Part 2)
- Kohei Adachi
- Ch Chapter 19 Principal Component Analysis Versus Factor Analysis
- Kohei Adachi
- Ch Chapter 2 Intra-variable Statistics
- Kohei Adachi
- Ch Chapter 20 Three-Way Principal Component Analysis
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- Ch Chapter 21 Sparse Regression Analysis
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- Ch Chapter 22 Sparse Factor Analysis
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- Ch Chapter 3 Inter-variable Statistics
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- Ch Chapter 4 Regression Analysis
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- Ch Chapter 5 Principal Component Analysis (Part 1)
- Kohei Adachi
- Ch Chapter 6 Principal Component Analysis (Part 2)
- Kohei Adachi
- Ch Chapter 7 Cluster Analysis
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- Ch Chapter 8 Maximum Likelihood and Multivariate Normal Distribution
- Kohei Adachi
- Ch Chapter 9 Path Analysis
- Kohei Adachi
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprbok:978-981-15-4103-2
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DOI: 10.1007/978-981-15-4103-2
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