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Functional estimation for density, r...

Pons, Odile.

Functional estimation for density, regression models and processes

Record Type:	Electronic resources : Monograph/item
Title/Author:	Functional estimation for density, regression models and processesOdile Pons.
Author:	Pons, Odile.
Published:	Singapore ;World Scientific Pub. Co.,c2011.
Description:	ix, 199 p.
Subject:	Mathematical statistics.
Online resource:	http://www.worldscientific.com/worldscibooks/10.1142/8124#t=toc
ISBN:	9789814343749 (electronic bk.)

Functional estimation for density, regression models and processes
Pons, Odile.

Functional estimation for density, regression models and processes[electronic resource] /Odile Pons. - Singapore ;World Scientific Pub. Co.,c2011. - ix, 199 p.

Includes bibliographical references (p. 191-196) and index.

This book presents a unified approach on nonparametric estimators for models of independent observations, jump processes and continuous processes. New estimators are defined and their limiting behavior is studied. From a practical point of view, the book expounds on the construction of estimators for functionals of processes and densities, and provides asymptotic expansions and optimality properties from smooth estimators. It also presents new regular estimators for functionals of processes, compares histogram and kernel estimators, compares several new estimators for single-index models, and it examines the weak convergence of the estimators.

Electronic reproduction.
Singapore :
World Scientific Publishing Co.,
2011.

System requirements: Adobe Acrobat Reader.

ISBN: 9789814343749 (electronic bk.)Subjects--Topical Terms:

181877
Mathematical statistics.

LC Class. No.: QA276.8

Dewey Class. No.: 519.5

Functional estimation for density, regression models and processes
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245 1 0 $a Functional estimation for density, regression models and processes $h [electronic resource] / $c Odile Pons.
260 $a Singapore ; $a Hackensack, N.J. : $b World Scientific Pub. Co., $c c2011.
300 $a ix, 199 p.
504 $a Includes bibliographical references (p. 191-196) and index.
520 $a This book presents a unified approach on nonparametric estimators for models of independent observations, jump processes and continuous processes. New estimators are defined and their limiting behavior is studied. From a practical point of view, the book expounds on the construction of estimators for functionals of processes and densities, and provides asymptotic expansions and optimality properties from smooth estimators. It also presents new regular estimators for functionals of processes, compares histogram and kernel estimators, compares several new estimators for single-index models, and it examines the weak convergence of the estimators.
533 $a Electronic reproduction. $b Singapore : $c World Scientific Publishing Co., $d 2011. $n System requirements: Adobe Acrobat Reader. $n Mode of access: World Wide Web. $n Available to subscribing institutions.
650 0 $a Mathematical statistics. $3 181877
650 0 $a Econometrics. $3 182271
650 0 $a Estimation theory. $3 181864
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856 4 0 $u http://www.worldscientific.com/worldscibooks/10.1142/8124#t=toc