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: 2016
ISBN: 978-981-10-2341-5
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Chapters in this book:
- Erratum to: Matrix-Based Introduction to Multivariate Data Analysis
- Kohei Adachi
- Elementary Matrix Operations
- Kohei Adachi
- Intravariable Statistics
- Kohei Adachi
- Inter-variable Statistics
- Kohei Adachi
- Regression Analysis
- Kohei Adachi
- Principal Component Analysis (Part 1)
- Kohei Adachi
- Principal Component Analysis (Part 2)
- Kohei Adachi
- Cluster Analysis
- Kohei Adachi
- Maximum Likelihood and Multivariate Normal Distribution
- Kohei Adachi
- Path Analysis
- Kohei Adachi
- Confirmatory Factor Analysis
- Kohei Adachi
- Structural Equation Modeling
- Kohei Adachi
- Exploratory Factor Analysis
- Kohei Adachi
- Rotation Techniques
- Kohei Adachi
- Canonical Correlation and Multiple Correspondence Analyses
- Kohei Adachi
- Discriminant Analysis
- Kohei Adachi
- Multidimensional Scaling
- Kohei Adachi
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprbok:978-981-10-2341-5
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DOI: 10.1007/978-981-10-2341-5
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