Robust Random Regression Imputation method for missing data in the presence of outliers

The Ordinary Least Square (OLS) estimator is the best regression estimator if all the assumptions are met. However, the presence of missing data and outliers can distort the Ordinary Least Squares estimation and increase the variability of the parameters estimates. The main focus of this research i...

書誌詳細
第一著者:	John, Ahamefule Happy
フォーマット:	学位論文
言語:	英語
出版事項:	2013
主題:	Sampling (Statistics) Quantitative research Regression analysis
オンライン･アクセス:	http://psasir.upm.edu.my/id/eprint/49818/1/FS%202013%2042RR.pdf

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