One-way analysis of covariance is a popular and common statistical method, wherein the equality of the means of several random variables which have a linear relationship with a random mathematical variable, is tested. In this study, a method is presented to improve the one-way analysis of covari- ance when there is an uncertainty in accepting the statistical hypotheses. The method deals with a fuzzy test statistic which is produced by a set of con dence intervals. Finally an example is provided for illustration.
JIRYAEI, A., ARABPOUR, A., & MASHINCHI, M. (2013). ANALYSIS OF COVARIANCE BASED ON FUZZY TEST
STATISTIC. Journal of Mahani Mathematical Research, 2(1), 29-41. doi: 10.22103/jmmrc.2013.565
MLA
ALIREZA JIRYAEI; ALIREZA ARABPOUR; MASHALLAH MASHINCHI. "ANALYSIS OF COVARIANCE BASED ON FUZZY TEST
STATISTIC", Journal of Mahani Mathematical Research, 2, 1, 2013, 29-41. doi: 10.22103/jmmrc.2013.565
HARVARD
JIRYAEI, A., ARABPOUR, A., MASHINCHI, M. (2013). 'ANALYSIS OF COVARIANCE BASED ON FUZZY TEST
STATISTIC', Journal of Mahani Mathematical Research, 2(1), pp. 29-41. doi: 10.22103/jmmrc.2013.565
VANCOUVER
JIRYAEI, A., ARABPOUR, A., MASHINCHI, M. ANALYSIS OF COVARIANCE BASED ON FUZZY TEST
STATISTIC. Journal of Mahani Mathematical Research, 2013; 2(1): 29-41. doi: 10.22103/jmmrc.2013.565
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