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 and 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
JIRYAEI,A , , ARABPOUR,A , and MASHINCHI,M . "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
CHICAGO
A JIRYAEI, A ARABPOUR and M 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
VANCOUVER
JIRYAEI A, ARABPOUR A, MASHINCHI M. ANALYSIS OF COVARIANCE BASED ON FUZZY TEST
STATISTIC. J. Mahani Math. Res.. 2013;2(1):29-41. doi: 10.22103/jmmrc.2013.565
