Robust Statistics

The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. "e;This is a nice book containing a wealth of information, much of it due to the authors. . . . If an instructor designing such a course wanted a textbook, this book would be the best choice available. . . . There are many stimulating exercises, and the book also contains an excellent index and an extensive list of references."e; Technometrics "e;[This] book should be read carefully by anyone who is interested in dealing with statistical models in a realistic fashion."e; American Scientist Introducing concepts, theory, and applications, Robust Statistics is accessible to a broad audience, avoiding allusions to high-powered mathematics while emphasizing ideas, heuristics, and background. The text covers the approach based on the influence function (the effect of an outlier on an estimater, for example) and related notions such as the breakdown point. It also treats the change-of-variance function, fundamental concepts and results in the framework of estimation of a single parameter, and applications to estimation of covariance matrices and regression parameters.

The Wiley-Interscience Paperback Series consists of selectedbooks that have been made more accessible to consumers in an effortto increase global appeal and general circulation. With these newunabridged softcover volumes, Wiley hopes to extend the lives ofthese works by making them available to future generations ofstatisticians, mathematicians, and scientists."This is a nice book containing a wealth of information, much ofit due to the authors. . . . If an instructor designing such acourse wanted a textbook, this book would be the best choiceavailable. . . . There are many stimulating exercises, and the bookalso contains an excellent index and an extensive list ofreferences."Technometrics"[This] book should be read carefully by anyone who isinterested in dealing with statistical models in a realisticfashion."American ScientistIntroducing concepts, theory, and applications, RobustStatistics is accessible to a broad audience, avoidingallusions to high-powered mathematics while emphasizing ideasheuristics, and background. The text covers the approach based onthe influence function (the effect of an outlier on an estimaterfor example) and related notions such as the breakdown point. Italso treats the change-of-variance function, fundamental conceptsand results in the framework of estimation of a single parameterand applications to estimation of covariance matrices andregression parameters.

1. Introduction and Motivation.2. One-Dimensional Estimators.3. One-Dimensional Tests.4. Multidimensional Estimators.5. Estimation of Covariance Matrices and MultivariateLocation.6. Linear Models: Robust Estimation.7. Linear Models: Robust Testing.8. Complements and Outlook.References.Index.