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.
Share and Cite:
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.
Conflicts of Interest
The authors declare no conflicts of interest.
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