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Groeneboom, Piet; Wellner, Jon A. - Information Bounds and Nonparametric Maximum Likelihood Estimation - 9783764327941 - V9783764327941
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Information Bounds and Nonparametric Maximum Likelihood Estimation

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Description for Information Bounds and Nonparametric Maximum Likelihood Estimation Paperback. This account of recent developments in the theory of nonparametric and semiparametric estimation deals first with information lower bounds and differentiable functionals, then focuses on nonparametric maximum likelihood estimators for interval censoring and deconvolution. Series: Oberwolfach Seminars. Num Pages: 128 pages, biography. BIC Classification: MBNS; PBT. Category: (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 244 x 170 x 7. Weight in Grams: 280.
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 ... Read more

Product Details

Format
Paperback
Publication date
1992
Publisher
Birkhauser Verlag AG Switzerland
Number of pages
128
Condition
New
Series
Oberwolfach Seminars
Number of Pages
128
Place of Publication
Basel, Switzerland
ISBN
9783764327941
SKU
V9783764327941
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

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