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ANALYSIS OF COVARIANCE BASED ON FUZZY TEST STATISTIC | ||
| Journal of Mahani Mathematical Research | ||
| مقاله 3، دوره 2، شماره 1، آبان 2013، صفحه 29-41 اصل مقاله (611.53 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22103/jmmrc.2013.565 | ||
| نویسندگان | ||
| ALIREZA JIRYAEI؛ ALIREZA ARABPOUR* ؛ MASHALLAH MASHINCHI | ||
| DEPARTMENT OF STATISTICS, SHAHID BAHONAR UNIVERSITY OF KERMAN, IRAN. | ||
| چکیده | ||
| 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. | ||
| کلیدواژهها | ||
| Analysis of covariance؛ Con dence interval؛ Fuzzy test statis- tic | ||
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