SpringerIranian Journal of Science and Technology (Sciences)1028-627629320050227USING FUZZY KNOWLEDGE OF A NUISANCE PARAMETER FOR HYPOTHESIS TESTING433454281910.22099/ijsts.2005.2819ENJ.BEHBOODIAN1Department of Mathematics, Shiraz Islamic Azad University, Shiraz, I. R. of IranA.MOHAMMADPOURDepartment of Statistics, Faculty of Mathematics and Computer Science, Amirkabir University of Technology,
424 Hafez Ave., Tehran, I. R. of Iran, 15914Journal Article20040522The problem of hypothesis testing with a nuisance parameter is considered. Two methods for<br />using fuzzy knowledge on the nuisance parameter to test hypotheses are suggested. These methods are<br />neither a pure classical nor a pure Bayesian approach to hypothesis testing, but rather related to both. A<br />few known examples and their applications, which cannot be studied by the parametric statistical<br />methods, are discussed.http://ijsts.shirazu.ac.ir/article_2819_7710b20c222e8a91298a9202beade963.pdf