A WEIGHTED LINEAR REGRESSION MODEL FOR IMPERCISE RESPONSE

Author(s):

Alireza Arabpour * , Marzei Amini

Abstract:
A weighted linear regression model with impercise response and p-real explanatory variables is analyzed. The LR fuzzy random variable is introduced and a metric is suggested for coping with this kind of variables. A least square solution for estimating the parameters of the model is derived. The result are illustrated by the means of some case studies.
Keywords:

Fuzzy Regression , Least Squares , Estimate , Imprecise Response

Language:
English
Published:
Journal of Mahani Mathematical Research, Volume:3 Issue: 1, Winter 2014
Pages:
1 to 17
https://www.magiran.com/p1657642