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Title: Instrumental weighted variables under heteroscedasticity. Part II – Numerical study (English)
Author: Víšek, Jan Ámos
Language: English
Journal: Kybernetika
ISSN: 0023-5954 (print)
ISSN: 1805-949X (online)
Volume: 53
Issue: 1
Year: 2017
Pages: 26-58
Summary lang: English
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Category: math
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Summary: Results of a numerical study of the behavior of the instrumental weighted variables estimator – in a competition with two other estimators – are presented. The study was performed under various frameworks (homoscedsticity/heteroscedasticity, several level and types of contamination of data, fulfilled/broken orthogonality condition). At the beginning the optimal values of eligible parameters of estimatros in question were empirically established. It was done under the various sizes of data sets and various levels of the contamination of data. These values were then utilized in the numerical study. Its results indicate that instrumental weighted variables are as good as $S$- and $W$-estimators and under heteroscedasticity even better. The weight function of Tukey's type was used. (English)
Keyword: heteroscedasticity of disturbances
Keyword: numerical study of instrumental weighted variables.
MSC: 62F35
MSC: 62J02
idZBL: Zbl 06738593
idMR: MR3638555
DOI: 10.14736/kyb-2017-1-0026
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Date available: 2017-04-03T10:45:47Z
Last updated: 2018-01-10
Stable URL: http://hdl.handle.net/10338.dmlcz/146707
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