OUTLIERS AND THEIR EFFECT ON PARAMETERS ESTIMATIONS IN REGRESSION ANALYSIS (Maw Maw Khin, 2018)

Maw Maw Khin

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OUTLIERS AND THEIR EFFECT ON PARAMETERS ESTIMATIONS IN REGRESSION ANALYSIS (Maw Maw Khin, 2018)

http://hdl.handle.net/20.500.12678/0000006825

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Publication type
		Journal article
Upload type
		Publication
Title
	Title	OUTLIERS AND THEIR EFFECT ON PARAMETERS ESTIMATIONS IN REGRESSION ANALYSIS (Maw Maw Khin, 2018)
	Language	en
Publication date		2018-02-01
Authors
		Maw Maw Khin
Description
		This study attempts to investigate the effect of outliers on estimation of parameters in regression analysis.The results about outlier robustness point out that the robust and classical methods both worked well data with no outliers indicating that their mean squares error (MSE) are quite close to each other. If there are outliers in the data, the robust methods perform better than the classical method. The OLS estimates provide poor estimates of true parameters of the regression model. As expected, OLS is a less efficient estimator whatever the type of outliers present in the data.
Keywords
		RobustEstimators, Maximum Likelihood, Additive Outlier
Journal articles
		Yangon University of Economics Research Journal
		81-89
		vol.5, no.1

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