A weighted linear regression model with imprecise response is analyzed. The LR fuzzy random variable is introduced and a metric is suggested for coping with such variables. A weighted least squares solution for estimating the parameters of the model is obtained. The result are illustrated by the means of case studies.
Arabpour,A and Amini,M . (2016). WEIGHTED LINEAR REGRESSION MODEL FOR IMPRECISE RESPONSE. Journal of Mahani Mathematical Research, 3(1), 1-17. doi: 10.22103/jmmrc.2014.1399
MLA
Arabpour,A , and Amini,M . "WEIGHTED LINEAR REGRESSION MODEL FOR IMPRECISE RESPONSE", Journal of Mahani Mathematical Research, 3, 1, 2016, 1-17. doi: 10.22103/jmmrc.2014.1399
HARVARD
Arabpour A, Amini M. (2016). 'WEIGHTED LINEAR REGRESSION MODEL FOR IMPRECISE RESPONSE', Journal of Mahani Mathematical Research, 3(1), pp. 1-17. doi: 10.22103/jmmrc.2014.1399
CHICAGO
A Arabpour and M Amini, "WEIGHTED LINEAR REGRESSION MODEL FOR IMPRECISE RESPONSE," Journal of Mahani Mathematical Research, 3 1 (2016): 1-17, doi: 10.22103/jmmrc.2014.1399
VANCOUVER
Arabpour A, Amini M. WEIGHTED LINEAR REGRESSION MODEL FOR IMPRECISE RESPONSE. J. Mahani Math. Res.. 2016;3(1):1-17. doi: 10.22103/jmmrc.2014.1399
