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Verlag: Wiley & Sons, Incorporated, John, 1987
ISBN 10: 0471852333 ISBN 13: 9780471852339
Sprache: Englisch
Anbieter: Better World Books, Mishawaka, IN, USA
Erstausgabe
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In den WarenkorbZustand: Good. 1st Edition. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages.
EUR 79,93
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In den WarenkorbHardcover. Zustand: Très bon. Ancien livre de bibliothèque avec équipements. Edition 1987. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Edition 1987. Ammareal gives back up to 15% of this item's net price to charity organizations.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
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In den WarenkorbZustand: New. In.
EUR 205,24
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In den WarenkorbTaschenbuch. Zustand: Neu. Neuware - WILEY-INTERSCIENCE PAPERBACK SERIESThe 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.'The writing style is clear and informal, and much of thediscussion is oriented to application. In short, the book is akeeper.'-Mathematical Geology'I would highly recommend the addition of this book to thelibraries of both students and professionals. It is a usefultextbook for the graduate student, because it emphasizes both thephilosophy and practice of robustness in regression settings, andit provides excellent examples of precise, logical proofs oftheorems. . . .Even for those who are familiar with robustness, thebook will be a good reference because it consolidates the researchin high-breakdown affine equivariant estimators and includes anextensive bibliography in robust regression, outlier diagnostics,and related methods. The aim of this book, the authors tell us, is'to make robust regression available for everyday statisticalpractice.' Rousseeuw and Leroy have included all of thenecessary ingredients to make this happen.'-Journal of the American Statistical Association.