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 AM  Vol.3 No.12 , December 2012
Generalized Minimum Perpendicular Distance Square Method of Estimation
Abstract: In case of heteroscedasticity, a Generalized Minimum Perpendicular Distance Square (GMPDS) method has been suggested instead of traditionally used Generalized Least Square (GLS) method to fit a regression line, with an aim to get a better fitted regression line, so that the estimated line will be closest one to the observed points. Mathematical form of the estimator for the parameters has been presented. A logical argument behind the relationship between the slopes of the lines and has been placed.
Cite this paper: R. Karim, M. Alam, M. Chowdhury and F. Hossain, "Generalized Minimum Perpendicular Distance Square Method of Estimation," Applied Mathematics, Vol. 3 No. 12, 2012, pp. 1945-1949. doi: 10.4236/am.2012.312266.
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