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Activity Number: 643
Type: Contributed
Date/Time: Thursday, August 13, 2015 : 8:30 AM to 10:20 AM
Sponsor: Business and Economic Statistics Section
Abstract #316049
Title: An Alternative Approach of Fitting a Regression Line Not Based on Least Square Estimates
Author(s): Silvey Shamsi* and Mian Adnan and Rahmatullah Shams Imon
Companies: Jahangirnagar University and Ball State University and Ball State University
Keywords: Regression Estimators ; Absolute deviation ; Re-transformation ; Outlier
Abstract:

All the existing regression estimates suffer from scale problem that exaggerate the contribution of extreme observation(s) as well as outlier(s). Unlike the traditional fitting procedure of a regression line based on the least squares estimates; it uses one dimensional transformed deviation for minimizing the total sum of errors. Interestingly enough it is notified that, the estimators have been made a link to the ratio estimators. These estimators also suggest a new approach of detecting outlier, etc in regression Analysis.

Authors who are presenting talks have a * after their name.

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