9780470010921 - Robust Statistics: Theory And Methods di Maronna, Richardo A.; Martin, R. Douglas; Yohai, Victor J. (26 risultati)

gebundene Ausgabe. Condizione: Gut. 403 Seiten Das Buch befindet sich in einem gut erhaltenen Zustand. Namensvermerk des Vorbesitzers im Vorsatz. In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 760.

Hardcover. Condizione: Very good. Spine cocked.

Hardcover. Ex-library with stamp and library-signature. GOOD condition, some traces of use. Ancien Exemplaire de bibliothèque avec signature et cachet. BON état, quelques traces d'usure. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. 62 MAR 9780470010921 Sprache: Englisch Gewicht in Gramm: 550.

Hardcover. Condizione: Very Good. No marks. Nice corners. Minimal use.

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Hardcover. Condizione: New. 2nd Edition. John Wiley, Reprinted with corrections, Nov., 2006. XX+403 pages. New Hardcover. 9.25"x6.2"x1.1". be44.

HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

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Condizione: New. pp. 436.

Condizione: As New. Unread book in perfect condition.

Condizione: New. pp. 436.

Condizione: New. Robust Statistics fills the need for a solid, up-to-date text that presents a broad overview of the theory of robust statistics, integrated with applications and computing. The book features in-depth coverage of the key methodology, including regression, multivariate analysis, and time series. Series: Wiley Series in Probability and Statistics. Num Pages: 436 pages, Illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 231 x 158 x 37. Weight in Grams: 794. . 2006. 1st Edition. Hardcover. . . . .

Condizione: New. pp. 436.

Condizione: New. Ricardo Maronna is a Professor in the Department of Mathematics, Faculty of Exact Sciences, National University of La Plata, Argentina, and researcher at C.I.C.P.B.A. He is the author of numerous research articles on robust statistics, especially in the are.

Condizione: New. Robust Statistics fills the need for a solid, up-to-date text that presents a broad overview of the theory of robust statistics, integrated with applications and computing. The book features in-depth coverage of the key methodology, including regression, multivariate analysis, and time series. Series: Wiley Series in Probability and Statistics. Num Pages: 436 pages, Illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 231 x 158 x 37. Weight in Grams: 794. . 2006. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.

Hardcover. Condizione: Brand New. 1st edition. 403 pages. 9.25x6.25x1.25 inches. In Stock.

Buch. Condizione: Neu. Neuware - Classical statistical techniques fail to cope well with deviations from a standard distribution. Robust statistical methods take into account these deviations while estimating the parameters of parametric models, thus increasing the accuracy of the inference. Research into robust methods is flourishing, with new methods being developed and different applications considered.Robust Statistics sets out to explain the use of robust methods and their theoretical justification. It provides an up-to-date overview of the theory and practical application of the robust statistical methods in regression, multivariate analysis, generalized linear models and time series. This unique book:\* Enables the reader to select and use the most appropriate robust method for their particular statistical model.\* Features computational algorithms for the core methods.\* Covers regression methods for data mining applications.\* Includes examples with real data and applications using the S-Plus robust statistics library.\* Describes the theoretical and operational aspects of robust methods separately, so the reader can choose to focus on one or the other.\* Supported by a supplementary website featuring time-limited S-Plus download, along with datasets and S-Plus code to allow the reader to reproduce the examples given in the book.Robust Statistics aims to stimulate the use of robust methods as a powerful tool to increase the reliability and accuracy of statistical modelling and data analysis. It is ideal for researchers, practitioners and graduate students of statistics, electrical, chemical and biochemical engineering, and computer vision. There is also much to benefit researchers from other sciences, such as biotechnology, who need to use robust statistical methods in their work.

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Hardcover. Condizione: new. Hardcover. Classical statistical techniques fail to cope well with deviations from a standard distribution. Robust statistical methods take into account these deviations while estimating the parameters of parametric models, thus increasing the accuracy of the inference. Research into robust methods is flourishing, with new methods being developed and different applications considered. Robust Statistics sets out to explain the use of robust methods and their theoretical justification. It provides an up-to-date overview of the theory and practical application of the robust statistical methods in regression, multivariate analysis, generalized linear models and time series. This unique book: Enables the reader to select and use the most appropriate robust method for their particular statistical model.Features computational algorithms for the core methods.Covers regression methods for data mining applications.Includes examples with real data and applications using the S-Plus robust statistics library.Describes the theoretical and operational aspects of robust methods separately, so the reader can choose to focus on one or the other.Supported by a supplementary website featuring time-limited S-Plus download, along with datasets and S-Plus code to allow the reader to reproduce the examples given in the book. Robust Statistics aims to stimulate the use of robust methods as a powerful tool to increase the reliability and accuracy of statistical modelling and data analysis. It is ideal for researchers, practitioners and graduate students of statistics, electrical, chemical and biochemical engineering, and computer vision. There is also much to benefit researchers from other sciences, such as biotechnology, who need to use robust statistical methods in their work. Robust Statistics fills the need for a solid, up-to-date text that presents a broad overview of the theory of robust statistics, integrated with applications and computing. The book features in-depth coverage of the key methodology, including regression, multivariate analysis, and time series. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Hardcover. Condizione: new. Hardcover. Classical statistical techniques fail to cope well with deviations from a standard distribution. Robust statistical methods take into account these deviations while estimating the parameters of parametric models, thus increasing the accuracy of the inference. Research into robust methods is flourishing, with new methods being developed and different applications considered. Robust Statistics sets out to explain the use of robust methods and their theoretical justification. It provides an up-to-date overview of the theory and practical application of the robust statistical methods in regression, multivariate analysis, generalized linear models and time series. This unique book: Enables the reader to select and use the most appropriate robust method for their particular statistical model.Features computational algorithms for the core methods.Covers regression methods for data mining applications.Includes examples with real data and applications using the S-Plus robust statistics library.Describes the theoretical and operational aspects of robust methods separately, so the reader can choose to focus on one or the other.Supported by a supplementary website featuring time-limited S-Plus download, along with datasets and S-Plus code to allow the reader to reproduce the examples given in the book. Robust Statistics aims to stimulate the use of robust methods as a powerful tool to increase the reliability and accuracy of statistical modelling and data analysis. It is ideal for researchers, practitioners and graduate students of statistics, electrical, chemical and biochemical engineering, and computer vision. There is also much to benefit researchers from other sciences, such as biotechnology, who need to use robust statistical methods in their work. Robust Statistics fills the need for a solid, up-to-date text that presents a broad overview of the theory of robust statistics, integrated with applications and computing. The book features in-depth coverage of the key methodology, including regression, multivariate analysis, and time series. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Condizione: Brand New. 1st edition. 403 pages. 9.25x6.25x1.25 inches. In Stock. This item is printed on demand.