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. Journal of Mahani Mathematical Research, 2016; 3(1): 1-17. doi: 10.22103/jmmrc.2014.1399
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