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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Détails bibliographiques
Auteur principal:	John, Ahamefule Happy
Format:	Thèse
Langue:	anglais
Publié:	2013
Sujets:	Sampling (Statistics) Quantitative research Regression analysis
Accès en ligne:	http://psasir.upm.edu.my/id/eprint/49818/1/FS%202013%2042RR.pdf

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