Outliers in Statistical Data
3rd Edition
Published on 15. February 1994
Book
Hardback
608 pages
978-0-471-93094-5 (ISBN)
Description
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.
Reviews / Votes
"It is an extremely well written and thought provoking classical book about outliers." (Journal of Statistical Computation and Simulation, January 2006)More details
Series
Edition
3rd edition
Language
English
Place of publication
New York
United States
Target group
College/higher education
Professional and scholarly
Product notice
sewn/stitched
Cloth over boards
Dimensions
Height: 235 mm
Width: 157 mm
Thickness: 40 mm
Weight
1127 gr
ISBN-13
978-0-471-93094-5 (9780471930945)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Previous edition
Vic Barnett | Toby Lewis
Outliers in Statistical Data
Book
01/1985
2nd Edition
Wiley
€80.47
Article exhausted; check for reprint
Persons
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.
Content
Partial table of contents.
BASIC PRINCIPLES.
Why Do Outlying Observations Arise and What Should One Do AboutThem?
The Accommodation Approach: Robust Estimation and Testing.
UNIVARIATE DATA.
Accommodation Procedures for Univariate Samples.
Specific Discordancy Tests for Outliers in UnivariateSamples.
MULTIVARIATE AND STRUCTURED DATA.
Outliers in Multivariate Data.
The Outlier Problem for Structured Data: Regression, the LinearModel 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.
BASIC PRINCIPLES.
Why Do Outlying Observations Arise and What Should One Do AboutThem?
The Accommodation Approach: Robust Estimation and Testing.
UNIVARIATE DATA.
Accommodation Procedures for Univariate Samples.
Specific Discordancy Tests for Outliers in UnivariateSamples.
MULTIVARIATE AND STRUCTURED DATA.
Outliers in Multivariate Data.
The Outlier Problem for Structured Data: Regression, the LinearModel 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.