Linear Rank Tests for Two-Sample Fuzzy Data: A P-Value Approach
نویسندگان
چکیده
The linear rank test for two-sample data, which is a popular non-parametric statistical test, is extended to the case when the available data are imprecise rather than crisp. To do this, using some elements of credibility theory, we suggest a ranking method among imprecise observations and apply it to extend the usual concept of p-value leading a degree to accept or reject the null hypothesis of interest. Some applied examples, in psychology and lifetime testing, are provided to clarify the proposed approach. c ©2013 World Academic Press, UK. All rights reserved.
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