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Performance of robust wild bootstrap estimation of linear model in the presence of outlier and heteroscedasticity errors

The regression model estimator is considered efficient if it is robust and resistant to the presence of heteroscedasticity variance, multicollinearity or unusual observations called outliers. However, in regard to these problems, the wild bootstrap and robust wild bootstrap are no longer efficient s...

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書目詳細資料
Main Authors:	Rasheed, Abdulkadir Bello, Adnan, Robiah, Saffari, Seyed Ehsan, Pati, Kafi Dano
格式:	Conference or Workshop Item
語言:	English
出版:	2015
主題:	QA Mathematics
在線閱讀:	http://eprints.utm.my/id/eprint/60371/1/RAdnan2015_PerformanceofRobustWildBootstrapEstimation.pdf http://eprints.utm.my/id/eprint/60371/ http://dx.doi.org/10.1063/1.4954632
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