Paperback. Condizione: As New. my shelf location ea-j-53*.
Da: Magus Books Seattle, Seattle, WA, U.S.A.
Trade Paperback. Condizione: VG. used trade paperback edition. lightly shelfworn, corners perhaps slightly bumped. gift inscription and some tape residue on half title. pages and binding are clean, straight and tight. there are no marks to the text or other serious flaws.
Da: Revaluation Books, Exeter, Regno Unito
EUR 76,56
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Aggiungi al carrelloPaperback. Condizione: Brand New. 1992 edition. 136 pages. German language. 9.61x6.69x0.31 inches. In Stock.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 91,12
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Aggiungi al carrelloCondizione: New. In.
Da: Chiron Media, Wallingford, Regno Unito
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Aggiungi al carrelloPaperback. Condizione: New.
Da: Chiron Media, Wallingford, Regno Unito
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Aggiungi al carrelloPaperback. Condizione: New.
Da: Ria Christie Collections, Uxbridge, Regno Unito
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Aggiungi al carrelloCondizione: New. In.
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Aggiungi al carrelloCondizione: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | This book contains the lecture notes for a DMV course presented by the authors at Gunzburg, Germany, in September, 1990. In the course we sketched the theory of information bounds for non parametric and semiparametric models, and developed the theory of non parametric maximum likelihood estimation in several particular inverse problems: interval censoring and deconvolution models. Part I, based on Jon Wellner's lectures, gives a brief sketch of information lower bound theory: Hajek's convolution theorem and extensions, useful minimax bounds for parametric problems due to Ibragimov and Has'minskii, and a recent result characterizing differentiable functionals due to van der Vaart (1991). The differentiability theorem is illustrated with the examples of interval censoring and deconvolution (which are pursued from the estimation perspective in part II). The differentiability theorem gives a way of clearly distinguishing situations in which 1 2 the parameter of interest can be estimated at rate n / and situations in which this is not the case. However it says nothing about which rates to expect when the functional is not differentiable. Even the casual reader will notice that several models are introduced, but not pursued in any detail; many problems remain. Part II, based on Piet Groeneboom's lectures, focuses on non parametric maximum likelihood estimates (NPMLE's) for certain inverse problems. The first chapter deals with the interval censoring problem.
Da: Revaluation Books, Exeter, Regno Unito
EUR 149,32
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Aggiungi al carrelloPaperback. Condizione: Brand New. 1st edition. 560 pages. 9.00x6.00x1.25 inches. In Stock.
Lingua: Inglese
Editore: Springer-Verlag New York Inc., US, 1998
ISBN 10: 0387984739 ISBN 13: 9780387984735
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 164,37
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Aggiungi al carrelloPaperback. Condizione: New. 1998 ed.
EUR 131,83
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Aggiungi al carrelloCondizione: New. This book deals with estimation in situations in which there is believed to be enough information to model parametrically some, but not all of the features of a data set. Such models have arisen in a wide context in recent years, and involve new nonlinear e.
Lingua: Inglese
Editore: Springer-Verlag New York Inc., US, 1998
ISBN 10: 0387984739 ISBN 13: 9780387984735
Da: Rarewaves.com UK, London, Regno Unito
EUR 155,68
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: New. 1998 ed.
Lingua: Inglese
Editore: Birkhäuser Basel, Birkhäuser Basel Jul 1992, 1992
ISBN 10: 3764327944 ISBN 13: 9783764327941
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 53,49
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book contains the lecture notes for a DMV course presented by the authors at Gunzburg, Germany, in September, 1990. In the course we sketched the theory of information bounds for non parametric and semiparametric models, and developed the theory of non parametric maximum likelihood estimation in several particular inverse problems: interval censoring and deconvolution models. Part I, based on Jon Wellner's lectures, gives a brief sketch of information lower bound theory: Hajek's convolution theorem and extensions, useful minimax bounds for parametric problems due to Ibragimov and Has'minskii, and a recent result characterizing differentiable functionals due to van der Vaart (1991). The differentiability theorem is illustrated with the examples of interval censoring and deconvolution (which are pursued from the estimation perspective in part II). The differentiability theorem gives a way of clearly distinguishing situations in which 1 2 the parameter of interest can be estimated at rate n / and situations in which this is not the case. However it says nothing about which rates to expect when the functional is not differentiable. Even the casual reader will notice that several models are introduced, but not pursued in any detail; many problems remain. Part II, based on Piet Groeneboom's lectures, focuses on non parametric maximum likelihood estimates (NPMLE's) for certain inverse problems. The first chapter deals with the interval censoring problem. 136 pp. Englisch.
Da: moluna, Greven, Germania
EUR 48,37
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book contains the lecture notes for a DMV course presented by the authors at Gunzburg, Germany, in September, 1990. In the course we sketched the theory of information bounds for non parametric and semiparametric models, and developed the theory of non.