On the Weighted Mixed Almost Unbiased Ridge Estimator in Stochastic Restricted Linear Regression

We introduce the weighted mixed almost unbiased ridge estimator (WMAURE) based on the weighted mixed estimator (WME) (Trenkler and Toutenburg 1990) and the almost unbiased ridge estimator (AURE) (Akdeniz and Erol 2003) in linear regression model. We discuss superiorities of the new estimator under t...

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Main Authors: Chaolin Liu, Hu Yang, Jibo Wu
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2013/902715
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author Chaolin Liu
Hu Yang
Jibo Wu
author_facet Chaolin Liu
Hu Yang
Jibo Wu
author_sort Chaolin Liu
collection DOAJ
description We introduce the weighted mixed almost unbiased ridge estimator (WMAURE) based on the weighted mixed estimator (WME) (Trenkler and Toutenburg 1990) and the almost unbiased ridge estimator (AURE) (Akdeniz and Erol 2003) in linear regression model. We discuss superiorities of the new estimator under the quadratic bias (QB) and the mean square error matrix (MSEM) criteria. Additionally, we give a method about how to obtain the optimal values of parameters k and w. Finally, theoretical results are illustrated by a real data example and a Monte Carlo study.
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institution Kabale University
issn 1110-757X
1687-0042
language English
publishDate 2013-01-01
publisher Wiley
record_format Article
series Journal of Applied Mathematics
spelling doaj-art-df525945a9284e29ac5c581388017e2f2025-02-03T01:02:10ZengWileyJournal of Applied Mathematics1110-757X1687-00422013-01-01201310.1155/2013/902715902715On the Weighted Mixed Almost Unbiased Ridge Estimator in Stochastic Restricted Linear RegressionChaolin Liu0Hu Yang1Jibo Wu2College of Mathematics and Statistics, Chongqing University, Chongqing 401331, ChinaCollege of Mathematics and Statistics, Chongqing University, Chongqing 401331, ChinaCollege of Mathematics and Statistics, Chongqing University, Chongqing 401331, ChinaWe introduce the weighted mixed almost unbiased ridge estimator (WMAURE) based on the weighted mixed estimator (WME) (Trenkler and Toutenburg 1990) and the almost unbiased ridge estimator (AURE) (Akdeniz and Erol 2003) in linear regression model. We discuss superiorities of the new estimator under the quadratic bias (QB) and the mean square error matrix (MSEM) criteria. Additionally, we give a method about how to obtain the optimal values of parameters k and w. Finally, theoretical results are illustrated by a real data example and a Monte Carlo study.http://dx.doi.org/10.1155/2013/902715
spellingShingle Chaolin Liu
Hu Yang
Jibo Wu
On the Weighted Mixed Almost Unbiased Ridge Estimator in Stochastic Restricted Linear Regression
Journal of Applied Mathematics
title On the Weighted Mixed Almost Unbiased Ridge Estimator in Stochastic Restricted Linear Regression
title_full On the Weighted Mixed Almost Unbiased Ridge Estimator in Stochastic Restricted Linear Regression
title_fullStr On the Weighted Mixed Almost Unbiased Ridge Estimator in Stochastic Restricted Linear Regression
title_full_unstemmed On the Weighted Mixed Almost Unbiased Ridge Estimator in Stochastic Restricted Linear Regression
title_short On the Weighted Mixed Almost Unbiased Ridge Estimator in Stochastic Restricted Linear Regression
title_sort on the weighted mixed almost unbiased ridge estimator in stochastic restricted linear regression
url http://dx.doi.org/10.1155/2013/902715
work_keys_str_mv AT chaolinliu ontheweightedmixedalmostunbiasedridgeestimatorinstochasticrestrictedlinearregression
AT huyang ontheweightedmixedalmostunbiasedridgeestimatorinstochasticrestrictedlinearregression
AT jibowu ontheweightedmixedalmostunbiasedridgeestimatorinstochasticrestrictedlinearregression