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Robust Multivariate Analysis
Details
Includes dozens of R functions for making plots and estimators
Problems included at the end of every chapter
Code available for download on the author's website
Includes dozens of R functions for making plots and estimators Problems included at the end of every chapter Code available for download on the author's website Includes supplementary material: sn.pub/extras
Autorentext
David Olive is a Professor at Southern Illinois University, Carbondale, IL, USA. His research interests include the development of computationally practical robust multivariate location and dispersion estimators, robust multiple linear regression estimators, and resistant dimension reduction estimators.
Zusammenfassung
Includes dozens of R functions for making plots and estimators
Problems included at the end of every chapter
Code available for download on the author's website
Inhalt
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.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783319885711
- Sprache Englisch
- Auflage Softcover reprint of the original 1st edition 2017
- Größe H235mm x B155mm x T27mm
- Jahr 2018
- EAN 9783319885711
- Format Kartonierter Einband
- ISBN 3319885715
- Veröffentlichung 23.05.2018
- Titel Robust Multivariate Analysis
- Autor David J. Olive
- Gewicht 874g
- Herausgeber Springer International Publishing
- Anzahl Seiten 520
- Lesemotiv Verstehen
- Genre Mathematik