New approaches in estimating linear regression model parameters in the presence of multicollinearity and outliers

In multiple linear regression models, the ordinary least squares (OLS) method has been the most popular technique for estimating parameters of model due to its optimal properties and ease of calculation. OLS estimator may fail when the assumption of independence is violated. This assumption can be v...

詳細記述

書誌詳細
第一著者: Al-Mash, Mohammad Sabry Abo
フォーマット: 学位論文
言語:英語
出版事項: 2017
主題:
オンライン・アクセス:http://eprints.utm.my/78208/1/MohammadSabryAboMFS2017.pdf

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