GIC approach for simultaneous diagnosis of transformation and outliers - 文章详情页

作者：

Wang, Da-Rong (Wang, Da-Rong.) | Zhang, Jun-Jian (Zhang, Jun-Jian.) | Zhang, Zhong-Zhan (Zhang, Zhong-Zhan.) (学者：张忠占)

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摘要：

This　paper　is　focused　on　the　mask　effects　between　diagnosis　of　outliers　and　of　response　transformation　in　regression　analysis.　Based　on　the　idea　of　variable　selection,　a　simultaneous　diagnosis　method　is　proposed　by　constructing　covariates　and　employing　the　genaralized　information　criterion.　The　efficiency　of　the　proposed　approach　is　compared　with　naive　methods　through　a　Monte　Carlo　simulation　and　two　examples.

关键词：

Regression analysis Statistics Monte Carlo methods Electric frequency control

作者机构：

[ 1 ] [Wang, Da-Rong]College of Applied Science, Beijing University of Technology, Beijing 100124, China
[ 2 ] [Zhang, Jun-Jian]College of Applied Science, Beijing University of Technology, Beijing 100124, China
[ 3 ] [Zhang, Jun-Jian]College of Mathematics, Guangxi Normal University, Guilin 541004, China
[ 4 ] [Zhang, Zhong-Zhan]College of Applied Science, Beijing University of Technology, Beijing 100124, China

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