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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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书目详细资料
Main Authors:	Rasheed, Abdulkadir Bello, Adnan, Robiah, Saffari, Seyed Ehsan, Pati, Kafi Dano
格式:	Conference or Workshop Item
语言:	English
出版:	2015
主题:	QA Mathematics
在线阅读:	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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