From its initial publication this book has been the standard text on the subject. Since then there has been a continuing high level of activity, and work has developed in all major areas. This third edition reflects the latest state of knowledge with fully revised and extended coverage of all topics. Additional topics and new emphases are presented and a richer coverage of practical fields and computer-based facilities, together with a fully updated reference list, are provided.
Table of ContentsPARTIAL TABLE OF CONTENTS: BASIC PRINCIPLES
Why Do Outlying Observations Arise and What Should One Do About Them?
The Accommodation Approach: Robust Estimation and Testing
Accommodation Procedures for Univariate Samples
Specific Discordancy Tests for Outliers in Univariate Samples
MULTIVARIATE AND STRUCTURED DATA
Outliers in Multivariate Data
The Outlier Problem for Structured Data: Regression, the Linear Model and Designed Experiments
Bayesian Approaches to Outliers
Outliers in Time Series: An Important Area of Outlier Study
Outliers in Directional Data
References and Bibliography