Robust Multivariate Analysis

Robust Multivariate Analysis
Author :
Publisher : Springer
Total Pages : 508
Release :
ISBN-10 : 9783319682532
ISBN-13 : 3319682539
Rating : 4/5 (539 Downloads)

Book Synopsis Robust Multivariate Analysis by : David J. Olive

Download or read book Robust Multivariate Analysis written by David J. Olive and published by Springer. This book was released on 2017-11-28 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 text develops among the first practical robust regression and robust multivariate location and dispersion estimators backed by theory. The robust techniques are illustrated for methods such as principal component analysis, canonical correlation analysis, and factor analysis. A simple way to bootstrap confidence regions is also provided. Much of the research on robust multivariate analysis in this book is being published for the first time. The text is suitable for a first course in Multivariate Statistical Analysis or a first course in Robust Statistics. This graduate text is also useful for people who are familiar with the traditional multivariate topics, but want to know more about handling data sets with outliers. Many R programs and R data sets are available on the author’s website.


Robust Multivariate Analysis Related Books

Robust Multivariate Analysis
Language: en
Pages: 508
Authors: David J. Olive
Categories: Mathematics
Type: BOOK - Published: 2017-11-28 - Publisher: Springer

DOWNLOAD EBOOK

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. Inst
Robust Statistics
Language: en
Pages: 466
Authors: Ricardo A. Maronna
Categories: Mathematics
Type: BOOK - Published: 2019-01-04 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

A new edition of this popular text on robust statistics, thoroughly updated to include new and improved methods and focus on implementation of methodology using
Applied Multivariate Statistical Analysis and Related Topics with R
Language: en
Pages: 238
Authors: Lang WU
Categories: Mathematics
Type: BOOK - Published: 2021-04-27 - Publisher: EDP Sciences

DOWNLOAD EBOOK

Multivariate analysis is a popular area in statistics and data science. This book provides a good balance between conceptual understanding, key theoretical pres
Introduction to Robust Estimation and Hypothesis Testing
Language: en
Pages: 713
Authors: Rand R. Wilcox
Categories: Mathematics
Type: BOOK - Published: 2012-01-12 - Publisher: Academic Press

DOWNLOAD EBOOK

"This book focuses on the practical aspects of modern and robust statistical methods. The increased accuracy and power of modern methods, versus conventional ap
Robust Statistics
Language: en
Pages: 436
Authors: Ricardo A. Maronna
Categories: Mathematics
Type: BOOK - Published: 2006-05-12 - Publisher: Wiley

DOWNLOAD EBOOK

Classical statistical techniques fail to cope well with deviations from a standard distribution. Robust statistical methods take into account these deviations w