A WEIGHTED LINEAR REGRESSION MODEL FOR IMPERCISE RESPONSE

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

Authors

ALIREZA ARABPOUR

DEPARTMENT OF STATISTICS, FACULTY OF MATHEMATICS AND COMPUTER, SHAHID BAHONAR UNIVERSITY OF KERMAN, KERMAN, IRAN.

MARZEI AMINI

DEPARTMENT OF STATISTICS, FACULTY OF MATHEMATICS AND COMPUTER, SHAHID BAHONAR UNIVERSITY OF KERMAN, KERMAN, IRAN.

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https://civilica.com/doc/857235

شناسه ملی سند علمی:

JR_KJMMRC-3-1_001

تاریخ نمایه سازی: 5 خرداد 1398

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ARABPOUR, ALIREZA and AMINI, MARZEI,1393,A WEIGHTED LINEAR REGRESSION MODEL FOR IMPERCISE RESPONSE,https://civilica.com/doc/857235

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