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M. F. Hossain and G. Khalaf, “Minimum Perpendicular Distance Square Method Estimation,” Journal of Applied Statistical Science, Vol. 17, No. 2, 2009, pp. 153-180.

has been cited by the following article:

• TITLE: Generalized Minimum Perpendicular Distance Square Method of Estimation

  AUTHORS: Rezaul Karim, Morshed Alam, M. M. H. Chowdhury, Forhad Hossain

  KEYWORDS: Heteroscedasticity; Ordinary Least Square Method; Minimum Perpendicular Distance Square Method; Generalized Least Square Method

  JOURNAL NAME: Applied Mathematics, Vol.3 No.12, December 21, 2012

  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.