DocumentCode :
3736637
Title :
Analysis of covariance by using DLR metric
Author :
Mahdieh Mozafari;Ali Reza Arabpour
Author_Institution :
Dept. of Statitics, Higher Educ. Complex of Bam, Kerman, Iran
fYear :
2015
Firstpage :
1
Lastpage :
5
Abstract :
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 by using DLR metric, a method is presented to improve the one-way analysis of covariance 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 confidence intervals. Finally an example is provided for illustration.
Keywords :
"Measurement","Testing","Estimation","Random variables","Statistical distributions","Statistical analysis"
Publisher :
ieee
Conference_Titel :
Fuzzy and Intelligent Systems (CFIS), 2015 4th Iranian Joint Congress on
Type :
conf
DOI :
10.1109/CFIS.2015.7391692
Filename :
7391692
Link To Document :
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