Robust Statistics

Author:   Peter J. Huber (formerly of ETH Zurich, Switzerland) ,  Elvezio M. Ronchetti (University of Geneva, Switzerland)
Publisher:   John Wiley & Sons Inc
Edition:   2nd edition
ISBN:  

9780470129906


Pages:   384
Publication Date:   06 March 2009
Format:   Hardback
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

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Robust Statistics


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Author:   Peter J. Huber (formerly of ETH Zurich, Switzerland) ,  Elvezio M. Ronchetti (University of Geneva, Switzerland)
Publisher:   John Wiley & Sons Inc
Imprint:   John Wiley & Sons Inc
Edition:   2nd edition
Dimensions:   Width: 16.00cm , Height: 2.50cm , Length: 24.10cm
Weight:   0.689kg
ISBN:  

9780470129906


ISBN 10:   0470129905
Pages:   384
Publication Date:   06 March 2009
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

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Reviews

"""A comprehensive introduction and discussion on the formal mathematical background behind qualitative and quantitative robustness is provided, and subsequent chapters delve into basic types of scale estimates, asymptotic minimax theory, regression, robust covariance, and robust design . . . it also serves as a valuable reference for researchers and practitioners who wish to study the statistical research associated with robust statistics"" (Mathematical Reviews, 2010)"


A comprehensive introduction and discussion on the formal mathematical background behind qualitative and quantitative robustness is provided, and subsequent chapters delve into basic types of scale estimates, asymptotic minimax theory, regression, robust covariance, and robust design ... it also serves as a valuable reference for researchers and practitioners who wish to study the statistical research associated with robust statistics (Mathematical Reviews, 2010)


Author Information

Peter J. Huber, PhD, has over thirty-five years of academic experience and has previously served as professor of statistics at ETH Zurich (Switzerland), Harvard University, Massachusetts Institute of Technology, and the University of Bayreuth (Germany). An established authority in the field of robust statistics, Dr. Huber is the author or coauthor of four books and more than seventy journal articles in the areas of statistics and data analysis. Elvezio M. Ronchetti, PhD, is Professor of Statistics in the Department of Econometrics at the University of Geneva in Switzerland. Dr. Ronchetti is a Fellow of the American Statistical Association and coauthor of Robust Statistics: The Approach Based on Influence Functions, also published by Wiley.

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