J a Wellner (15 results)
- Softcover
Seller: MyLibraryMarket, Waynesville, OH, U.S.A.MyLibraryMarket
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Paperback. Condition: As New. my shelf location ea-j-53*.
- Softcover
Seller: Magus Books Seattle, Seattle, WA, U.S.A.Magus Books Seattle
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£ 26.40
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Trade Paperback. Condition: 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.
- Softcover
Seller: -OnTimeBooks-, Phoenix, AZ, U.S.A.-OnTimeBooks-
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Condition: good. A copy that has been read, remains in good condition. All pages are intact, and the cover is intact. The spine and cover show signs of wear. Pages can include notes and highlighting and show signs of wear, and the copy can include "From the library of" labels or previous owner inscriptions. 100% GUARANTEE! Shipp…ed with delivery confirmation, if you're not satisfied with purchase please return item! Ships via media mail.
- Softcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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£ 63.41
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Paperback. Condition: Brand New. 1992 edition. 136 pages. German language. 9.61x6.69x0.31 inches. In Stock.
Efficient and Adaptive Estimation for Semiparametric Models
Bickel, Peter J.; Klaassen, Chris A.J.; Ritov, Ya'acov; Wellner, Jon A.
- Softcover
Seller: Book House in Dinkytown, IOBA, Minneapolis, MN, U.S.A.Book House in Dinkytown, IOBA
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Condition: Used - Good
£ 72.30
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Paperback. Condition: Good+. Good+ paperback, from a private home collection. Spine is uncreased, binding tight and sturdy. Exterior looks very nice. About a dozen pages with pencil markings. Reprint. Ships same or next business day from Dinkytown in Minneapolis, Minnesota.
- Softcover
- Print on Demand
Seller: California Books, Miami, FL, U.S.A.California Books
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- Softcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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£ 77.00
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Condition: New. In.
Efficient and Adaptive Estimation for Semiparametric Models (Johns Hopkins Studies in the Mathematical Sciences)
Bickel, Dr. Peter J.; Klaassen, Dr. Chris A. J.; Ritov, Dr. Ya'acov; Wellner, Professor Jon A.; Klaassen, Chris A.J.; Ritov, Ya'Acov; Wellner, Jon
- Hardcover
Seller: -OnTimeBooks-, Phoenix, AZ, U.S.A.-OnTimeBooks-
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£ 94.26
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Condition: good. A copy that has been read, remains in good condition. All pages are intact, and the cover is intact. The spine and cover show signs of wear. Pages can include notes and highlighting and show signs of wear, and the copy can include "From the library of" labels or previous owner inscriptions. 100% GUARANTEE! Shipp…ed with delivery confirmation, if you're not satisfied with purchase please return item! Ships via media mail.
- Softcover
Seller: Chiron Media, Wallingford, United KingdomChiron Media
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£ 75.72
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Paperback. Condition: New.
Efficient and Adaptive Estimation for Semiparametric Models (1384) (Volume 0)
Bickel, Peter J.; Klaassen, Chris A.J.; Ritov, Ya'acov; Wellner, Jon A.
- Softcover
Seller: California Books, Miami, FL, U.S.A.California Books
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Condition: New.
- Softcover
Seller: Buchpark, Trebbin, GermanyBuchpark
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£ 34.69
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Condition: 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 theo…ry 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.
Efficient and Adaptive Estimation for Semiparametric Models (1384) (Volume 0)
Bickel, Peter J.; Klaassen, Chris A.J.; Ritov, Ya'acov; Wellner, Jon A.
- Softcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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£ 117.36
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Condition: New. In.
Language: English
Published by Birkhäuser Basel, Birkhäuser Basel Jul 1992, 1992
- Softcover
- Print on Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
Contact seller5-star sellerCondition: New
£ 47.14
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Taschenbuch. Condition: 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 de…veloped 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.
- Softcover
- Print on Demand
Seller: moluna, Greven, Germanymoluna
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£ 42.63
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Condition: 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.
Efficient and Adaptive Estimation for Semiparametric Models
Peter J. Bickel|Chris A.J. Klaassen|Ya'acov Ritov|Jon A. Wellner
- Softcover
- Print on Demand
Seller: moluna, Greven, Germanymoluna
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£ 104.55
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 aris…en in a wide context in recent years, and involve new nonlinear e.
