Outliers in Statistical Data

Informationen zum Autor 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. Klappentext 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. Zusammenfassung 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. Inhaltsverzeichnis 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. ...

Klappentext
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.

Inhalt
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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