9780470010921

Robust Statistics: Theory And Methods

; ;

ISBN 10: 0470010924 / 0-470-01092-4
ISBN 13: 9780470010921
Publisher: John Wiley & Sons Inc
Publication Date: 2006
Binding: Hardcover
Editorial Reviews:
Synopsis:
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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Robust Statistics: Theory And Methods (ISBN: 9780470010921)
Maronna, Ricardo;Martin, R. Douglas;Yohai, Victor J.
ISBN 10: 0470010924
ISBN 13: 9780470010921
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Book Description: Somerset, New Jersey, U.S.A.: John Wiley & Sons Inc, 2006. Hardcover. Book Condition: New. Ship out 1-2 business day,Brand new,US edition, Free tracking number usually 2-4 biz days delivery to worldwide Same shipping fee with US, Canada,Europe country, Australia, item will ship out from either LA or Asia, ht. Bookseller Inventory # ABE-5439876073

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Robust Statistics: Theory And Methods (ISBN: 0470010924 / 0-470-01092-4)
Maronna, Ricardo;Martin, R. Douglas;Yohai, Victor J.
ISBN 10: 0470010924
ISBN 13: 9780470010921
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Robust Statistics: Theory and Methods (ISBN: 0470010924 / 0-470-01092-4)
Maronna, Ricardo;Martin, R. Douglas;Yohai, Victor J.
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ISBN 13: 9780470010921
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Robust Statistics (ISBN: 9780470010921)
Maronna, Ricardo;Martin, R. Douglas;Yohai, Victor J.
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Book Description: Wiley?Blackwell, 2006. Hardback. Book Condition: New. New Book. Shipped from UK. Bookseller Inventory # FW-9780470010921

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Robust Statistics (ISBN: 9780470010921)
Maronna, Ricardo;Martin, R. Douglas;Yohai, Victor J.
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ISBN 13: 9780470010921
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Robust Statistics (ISBN: 9780470010921)
Maronna, Ricardo;Martin, R. Douglas;Yohai, Victor J.
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Book Description: Wiley?Blackwell, 2006. Hardback. Book Condition: New. New Book. Shipped from UK. Bookseller Inventory # FW-9780470010921

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Robust Statistics: Theory and Methods (Hardback) (ISBN: 9780470010921)
Maronna, Ricardo;Martin, R. Douglas;Yohai, Victor J.
ISBN 10: 0470010924
ISBN 13: 9780470010921
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Book Description: John Wiley and Sons Ltd, United Kingdom, 2006. Hardback. Book Condition: New. 233 x 180 mm. Brand New Book. 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. Bookseller Inventory # AAH9780470010921

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Robust Statistics: Theory and Methods (Wiley Series in Probability and Statistics) (ISBN: 0470010924 / 0-470-01092-4)
Maronna, Ricardo;Martin, R. Douglas;Yohai, Victor J.
ISBN 10: 0470010924
ISBN 13: 9780470010921
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Robust Statistics. Theory and Methods (ISBN: 9780470010921)
Maronna, Ricardo;Martin, R. Douglas;Yohai, Victor J.
ISBN 10: 0470010924
ISBN 13: 9780470010921
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Book Description: John Wiley & Sons Ltd, Chichester, 2006. Book Condition: New. Language: english. 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. Bookseller Inventory # 7312197

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Robust Statistics: Theory and Methods (Hardback) (ISBN: 9780470010921)
Maronna, Ricardo;Martin, R. Douglas;Yohai, Victor J.
ISBN 10: 0470010924
ISBN 13: 9780470010921
Bookseller: The Book Depository (Gloucester, UK, United Kingdom)
Bookseller Rating: 5-star rating
Quantity Available: 1

Book Description: John Wiley and Sons Ltd, United Kingdom, 2006. Hardback. Book Condition: New. 233 x 180 mm. Brand New Book. 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. Bookseller Inventory # AAH9780470010921

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