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...

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Bibliographic Details
Main Author: J. Olive, David (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
Subjects:
Online Access:Full Text via HEAL-Link
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.