Robust Multivariate Analysis
This text presents methods that are robust to the assumption of a multivariate normal distribution or methods that are robust to certain types of outliers. Instead of using exact theory based on the multivariate normal distribution, the simpler and more applicable large sample theory is given. The t...
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| Format: | eBook |
| Language: | English |
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Cham
Springer International Publishing
2017, 2017
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| Edition: | 1st ed. 2017 |
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| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Introduction
- Multivariate Distributions
- Elliptically Contoured Distributions
- MLD Estimators
- DD Plots and Prediction Regions
- Principal Component Analysis
- Canonical Correlation Analysis
- Discrimination Analysis
- Hotelling's T 2 Test
- MANOVA
- Factor Analysis
- Multivariate Linear Regression
- Clustering
- Other Techniques
- Stuff for Students