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Pseudo-empirical likelihood estimation using nonparametric regression

✍ Scribed by M. Rueda; J.F. Muñoz

Publisher
Elsevier Science
Year
2009
Tongue
English
Weight
458 KB
Volume
22
Category
Article
ISSN
0893-9659

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✦ Synopsis

Pseudo-empirical likelihood estimation of the population mean is considered. A nonparametric regression theory is proposed, to provide the fitted values on which to calibrate, and the common model misspecification problem is therefore addressed. Results derived from empirical studies show that the proposed estimator for the population mean can perform better than alternative estimators.

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