Outliers in statistical data
By: Vic Barnett and Toby Lewis.
Contributors: Lewis, Toby.
Edition: 3rd ed.
Series: Wiley series in probability and mathematical statistics.
Publisher: Wiley
Published: 1994
Place of publication: Chichester; New York
Language: eng
Number of pages: 584
Subjects: Outliers (Statistics)
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, including univariate and multivariate data, linear models, regression, and time series. Thus a third edition was obviously essential.

Every essential area is thoroughly updated to reflect the latest state of knowledge. All the topics are fully revised and extended, and additional topics and new emphases are presented.

Important features of this new edition are comprehensive updating of methodology and tables; major expansion of topics including time series, contingency tables, multivariate analysis and regression data (particularly influence and robustness, diagnostics, multiple outliers, non-linear models, L[subscript 1]-norm methods); and richer coverage of practical fields and computer-based facilities, and a thoroughly updated reference list.

New introduced topics include standards and regulations, computer software packages, and sample surveys. To facilitate ease of use, the book has been restructured into four parts: Basic Principles, Univariate Data, Multivariate and Structured Data, and Special Topics. This new edition, with the revised and new material, is sure to enhance the book's recognised position as the reference on the subject of outliers.
Notes: Includes bibliographical references (p. [527]-573) and index.