Efficiency comparison of two consistent estimators in nonlinear regression model with small measurement errors

We study a nonlinear measurement model where the response variable has a density belonging to the exponential family. We consider two consistent estimators: Corrected Score (CS) and Quasi Score (QS) ones. Their relative efficiency is compared with respect to asymptotic covariance matrices. We derive...

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Дата:2007
Автор: Malenko, A.
Формат: Стаття
Мова:Англійська
Опубліковано: Інститут математики НАН України 2007
Онлайн доступ:https://nasplib.isofts.kiev.ua/handle/123456789/4483
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Назва журналу:Digital Library of Periodicals of National Academy of Sciences of Ukraine
Цитувати:Efficiency comparison of two consistent estimators in nonlinear regression model with small measurement errors / A. Malenko // Theory of Stochastic Processes. — 2007. — Т. 13 (29), № 1-2. — С. 122-131. — Бібліогр.: 4 назв.— англ.

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Digital Library of Periodicals of National Academy of Sciences of Ukraine
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author Malenko, A.
author_facet Malenko, A.
citation_txt Efficiency comparison of two consistent estimators in nonlinear regression model with small measurement errors / A. Malenko // Theory of Stochastic Processes. — 2007. — Т. 13 (29), № 1-2. — С. 122-131. — Бібліогр.: 4 назв.— англ.
collection DSpace DC
description We study a nonlinear measurement model where the response variable has a density belonging to the exponential family. We consider two consistent estimators: Corrected Score (CS) and Quasi Score (QS) ones. Their relative efficiency is compared with respect to asymptotic covariance matrices. We derive expansions of these matrices for small error variances. It is shown that the QS estimator is more efficient than the CS one. The polynomial and Poisson regression models are studied in more detail.
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publisher Інститут математики НАН України
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spelling Malenko, A.
2009-11-19T10:15:44Z
2009-11-19T10:15:44Z
2007
Efficiency comparison of two consistent estimators in nonlinear regression model with small measurement errors / A. Malenko // Theory of Stochastic Processes. — 2007. — Т. 13 (29), № 1-2. — С. 122-131. — Бібліогр.: 4 назв.— англ.
0321-3900
https://nasplib.isofts.kiev.ua/handle/123456789/4483
We study a nonlinear measurement model where the response variable has a density belonging to the exponential family. We consider two consistent estimators: Corrected Score (CS) and Quasi Score (QS) ones. Their relative efficiency is compared with respect to asymptotic covariance matrices. We derive expansions of these matrices for small error variances. It is shown that the QS estimator is more efficient than the CS one. The polynomial and Poisson regression models are studied in more detail.
en
Інститут математики НАН України
Efficiency comparison of two consistent estimators in nonlinear regression model with small measurement errors
Article
published earlier
spellingShingle Efficiency comparison of two consistent estimators in nonlinear regression model with small measurement errors
Malenko, A.
title Efficiency comparison of two consistent estimators in nonlinear regression model with small measurement errors
title_full Efficiency comparison of two consistent estimators in nonlinear regression model with small measurement errors
title_fullStr Efficiency comparison of two consistent estimators in nonlinear regression model with small measurement errors
title_full_unstemmed Efficiency comparison of two consistent estimators in nonlinear regression model with small measurement errors
title_short Efficiency comparison of two consistent estimators in nonlinear regression model with small measurement errors
title_sort efficiency comparison of two consistent estimators in nonlinear regression model with small measurement errors
url https://nasplib.isofts.kiev.ua/handle/123456789/4483
work_keys_str_mv AT malenkoa efficiencycomparisonoftwoconsistentestimatorsinnonlinearregressionmodelwithsmallmeasurementerrors