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Information Bounds and Nonparametric Maximum Likelihood Estima

Information Bounds and Nonparametric Maximum Likelihood Estima

Piet Groeneboom
0/5 ( ratings)
The book gives 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.
Language
English
Pages
126
Format
Paperback
Publisher
Birkhauser
Release
August 01, 1992
ISBN
0817627944
ISBN 13
9780817627942

Information Bounds and Nonparametric Maximum Likelihood Estima

Piet Groeneboom
0/5 ( ratings)
The book gives 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.
Language
English
Pages
126
Format
Paperback
Publisher
Birkhauser
Release
August 01, 1992
ISBN
0817627944
ISBN 13
9780817627942

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