Outliers in Statistical Data

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.

Vic Barnett is the author of Outliers in Statistical Data, 3rd Edition, published by Wiley. Toby Lewis is the author of Outliers in Statistical Data, 3rd Edition, published by Wiley.

Partial table of contents:

BASIC PRINCIPLES.

Why Do Outlying Observations Arise and What Should One Do About Them?.

The Accommodation Approach: Robust Estimation and Testing.

UNIVARIATE DATA.

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.

SPECIAL TOPICS.

Bayesian Approaches to Outliers.

Outliers in Time Series: An Important Area of Outlier Study.

Outliers in Directional Data.

Appendix.

References and Bibliography.

Index.

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Outliers in Statistical Data

Summary

Author Biography

Table of Contents

Supplemental Materials