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

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...

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書目詳細資料
主要作者:	John, Ahamefule Happy
格式:	Thesis
語言:	English
出版:	2013
主題:	Sampling (Statistics) Quantitative research Regression analysis
在線閱讀:	http://psasir.upm.edu.my/id/eprint/49818/1/FS%202013%2042RR.pdf
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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