Applied Multivariate Statistical Analysis
Focusing on high-dimensional applications, this 4th edition presents the tools and concepts used in multivariate data analysis in a style that is also accessible for non-mathematicians and practitioners. It surveys the basic principles and emphasizes both exploratory and inferential statistics; a ne...
Κύριοι συγγραφείς: | , |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2015.
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Έκδοση: | 4th ed. 2015. |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- I Descriptive Techniques: Comparison of Batches
- II Multivariate Random Variables: A Short Excursion into Matrix Algebra
- Moving to Higher Dimensions
- Multivariate Distributions
- Theory of the Multinormal
- Theory of Estimation
- Hypothesis Testing
- III Multivariate Techniques: Regression Models
- Variable Selection
- Decomposition of Data Matrices by Factors
- Principal Components Analysis
- Factor Analysis
- Cluster Analysis
- Discriminant Analysis
- Correspondence Analysis
- Canonical Correlation Analysis
- Multidimensional Scaling
- Conjoint Measurement Analysis
- Applications in Finance
- Computationally Intensive Techniques
- IV Appendix: Symbols and Notations
- Data.