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

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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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Bibliographic Details
Main Author:	John, Ahamefule Happy
Format:	Thesis
Language:	English
Published:	2013
Subjects:	Sampling (Statistics) Quantitative research Regression analysis
Online Access:	http://psasir.upm.edu.my/id/eprint/49818/ http://psasir.upm.edu.my/id/eprint/49818/1/FS%202013%2042RR.pdf

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