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., & 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
Alireza Arabpour; Marzei Amini. "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
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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