Average Derivative Estimation from Biased Data-Reference-Cited by-同舟云学术

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Average Derivative Estimation from Biased Data

Published:2014-03-11 Issue: Volume:2014 Page:1-7
ISSN:2090-472X
Container-title:ISRN Probability and Statistics
language:en
Short-container-title:ISRN Probability and Statistics

Author:

Chesneau Christophe¹,Kachour Maher²,Navarro Fabien³

Affiliation:

1. Département de Mathématiques, UFR de Sciences, LMNO, Université de Caen Basse-Normandie, 14032 Caen Cedex, France

2. École Supérieure de Commerce IDRAC, 47 rue Sergent Michel Berthet CP 607, 69258 Lyon Cedex 09, France

3. Laboratoire de Mathématiques Jean Leray, UFR Sciences et Techniques, Université de Nantes, 2 rue de la Houssiniére, BP 92208, F-44322 Nantes Cedex 3, France

Abstract

We investigate the estimation of the density-weighted average derivative from biased data. An estimator integrating a plug-in approach and wavelet projections is constructed. We prove that it attains the parametric rate of convergence 1/n under the mean squared error.

Publisher

Hindawi Limited

Subject

Marketing,Organizational Behavior and Human Resource Management,Strategy and Management,Drug Discovery,Pharmaceutical Science,Pharmacology

Link

http://downloads.hindawi.com/archive/2014/864530.pdf

Reference26 articles.

1. Consistent Estimation of Scaled Coefficients

2. Tests of Additive Derivative Constraints

3. Semiparametric Estimation of Index Coefficients

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