Several practical problems of hypotheses testing can be under a general linear model analysis of variance which would be examined. In analysis of variance, when the response random variable Y , has linear relationship with several random variables x, another important model as analysis of covariance can be used. In this paper, assuming that Y is fuzzy and using D_LR metric, a method for testing the linear hypothesis has been proposed based on fuzzy techniques. In fact, in this method a set of confidence intervals has been used for creating fuzzy test statistic and fuzzy critical values. In addition, the proposed method has been mentioned for the reforming of the hypothesis testing when there is an uncertaity in accepting or rejecting hypotheses. Finally, by presenting two examples this method is illustrated.
Arabpour, A., & Mozafari, M. (2013). Linear Hypothesis Testing using D_LR Metric. Journal of Mahani Mathematical Research, 2(2), 73-87. doi: 10.22103/jmmrc.2013.1398
Arabpour, A., Mozafari, M. (2013). 'Linear Hypothesis Testing using D_LR Metric', Journal of Mahani Mathematical Research, 2(2), pp. 73-87. doi: 10.22103/jmmrc.2013.1398
VANCOUVER
Arabpour, A., Mozafari, M. Linear Hypothesis Testing using D_LR Metric. Journal of Mahani Mathematical Research, 2013; 2(2): 73-87. doi: 10.22103/jmmrc.2013.1398
)