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Outliers in Statistical Data 3rd Edition

4.5 out of 5 stars 2 customer reviews
ISBN-13: 978-0471930945
ISBN-10: 0471930946
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Editorial Reviews


"It is an extremely well written and thought provoking classical book about outliers." (Journal of Statistical Computation and Simulation, January 2006)

From the Back Cover

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.

Product Details

  • Hardcover: 604 pages
  • Publisher: Wiley; 3 edition (April 1994)
  • Language: English
  • ISBN-10: 0471930946
  • ISBN-13: 978-0471930945
  • Product Dimensions: 6.4 x 1.7 x 9.2 inches
  • Shipping Weight: 2.2 pounds (View shipping rates and policies)
  • Average Customer Review: 4.5 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon Best Sellers Rank: #1,683,953 in Books (See Top 100 in Books)

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Top Customer Reviews

Format: Hardcover
The first edition of this book in 1978 brought the first comprehensive text on outlier methods in statistical analysis. Outliers present important practical problems that have been studied for centuries. The twentieth century brought appropriate formal statistical methods for the detection and treatment of outliers.
The literature on outlier methods was scattered. It is commonly discussed in texts on regression analysis and sometimes in texts on robust statistical methods. Its importance in time series analysis was overlooked for a long time. Gnandesikan took the novel approach of using influence functions to search for multivariate outliers and covered this in his multivariate text. Another monograph exclusively on outlier methods by Doug Hawkins was also published at that time. However Barnett and Lewis gave the first comprehensive and unified account of the existing literature.

The second edition published in 1984 provided an update and added chapters on outliers in spatial data and outliers in time series. The chapter on time series devoted some space to my approach for using an influence function matrix to detect outliers of unspecified type. This third edition that I am reviewing, published in 1995 expanded on the work in the previous editions, restructured the text and added many new references. It continues to be the classic reference on outlier methods.
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Format: Hardcover Verified Purchase
A must for quantitative analysis
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