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OverviewFull Product DetailsAuthor: 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: 9780470129906ISBN 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 The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available. Table of ContentsReviews"""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 InformationPeter 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. Tab Content 6Author Website:Countries AvailableAll regions |