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Information Bounds and Nonparametric Maximum Likelihood Estimation by P Groeneboom
Information Bounds and Nonparametric Maximum Likelihood Estimation by P Groeneboom
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Information Bounds and Nonparametric Maximum Likelihood Estimation

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Description

This text provides an account of recent developments in the theory of nonparametric and semiparametric estimation. The first part deals with information lower bounds and differentiable functionals. The second part focuses on nonparametric maximum likelihood estimators for interval censoring and deconvolution. The distribution theory of these estimators is developed and new algorithms for computing them are introduced. The models apply frequently in biostatistics and epidemiology and, although they have been used as a data-analytic tool for a long time, their properties have been largely unknown.
Release date NZ
July 31st, 1992
Audiences
  • Postgraduate, Research & Scholarly
  • Undergraduate
Illustrations
VIII, 128 p.
Pages
128
Dimensions
170x244x7
ISBN-13
9783764327941
Product ID
14105754

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