Nonparametric Functional Estimation (PDF)
(Sprache: Englisch)
Nonparametric Functional Estimation is a compendium of papers, written by experts, in the area of nonparametric functional estimation. This book attempts to be exhaustive in nature and is written both for specialists in the area as well as for students of...
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Nonparametric Functional Estimation is a compendium of papers, written by experts, in the area of nonparametric functional estimation. This book attempts to be exhaustive in nature and is written both for specialists in the area as well as for students of statistics taking courses at the postgraduate level.
The main emphasis throughout the book is on the discussion of several methods of estimation and on the study of their large sample properties. Chapters are devoted to topics on estimation of density and related functions, the application of density estimation to classification problems, and the different facets of estimation of distribution functions.
Statisticians and students of statistics and engineering will find the text very useful.
The main emphasis throughout the book is on the discussion of several methods of estimation and on the study of their large sample properties. Chapters are devoted to topics on estimation of density and related functions, the application of density estimation to classification problems, and the different facets of estimation of distribution functions.
Statisticians and students of statistics and engineering will find the text very useful.
Bibliographische Angaben
- Autor: B. L. S. Prakasa Rao
- 2014, 538 Seiten, Englisch
- Herausgegeben: Z. W. Birnbaum, E. Lukacs
- Verlag: Elsevier Science & Techn.
- ISBN-10: 148326923X
- ISBN-13: 9781483269238
- Erscheinungsdatum: 10.07.2014
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- Grösse: 31 MB
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