The first systematic, book-length treatment of the subject. Begins with a general introduction and the formal mathematical background behind qualitative and quantitative robustness. Stresses concepts. Provides selected numerical algorithms for computing robust estimates, as well as convergence proofs. Tables contain quantitative robustness information for a variety of estimates.
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Peter J. Huber was formerly a Professor of Statistics at Harvard University and ETH Zurich. Dr. Huber received his Ph.D. in Mathematics from ETH Zurich in 1961.
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Vendeur : Better World Books Ltd, Dunfermline, Royaume-Uni
Etat : Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good. N° de réf. du vendeur 56674636-20
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Vendeur : Saul54, Lynn, MA, Etats-Unis
Soft cover. Etat : New. 1st Edition. IX+308 pages. Wiley-Interscience, 2004. XI+308 pages New Soft cover. 9.0"x6.0"x0.75", be45. N° de réf. du vendeur ABE-1734475429615
Quantité disponible : 1 disponible(s)