TY - JOUR ID - 2819 TI - USING FUZZY KNOWLEDGE OF A NUISANCE PARAMETER FOR HYPOTHESIS TESTING JO - Iranian Journal of Science JA - ISTT LA - en SN - 2731-8095 AU - BEHBOODIAN, J. AU - MOHAMMADPOUR, A. AD - 1Department of Mathematics, Shiraz Islamic Azad University, Shiraz, I. R. of Iran AD - Department of Statistics, Faculty of Mathematics and Computer Science, Amirkabir University of Technology, 424 Hafez Ave., Tehran, I. R. of Iran, 15914 Y1 - 2005 PY - 2005 VL - 29 IS - 3 SP - 433 EP - 454 KW - Fuzzy Statistics KW - defuzzified distribution KW - weighted defuzzification-Estimator KW - exchangeable normal Distribution DO - 10.22099/ijsts.2005.2819 N2 - The problem of hypothesis testing with a nuisance parameter is considered. Two methods forusing fuzzy knowledge on the nuisance parameter to test hypotheses are suggested. These methods areneither a pure classical nor a pure Bayesian approach to hypothesis testing, but rather related to both. Afew known examples and their applications, which cannot be studied by the parametric statisticalmethods, are discussed. UR - https://ijsts.shirazu.ac.ir/article_2819.html L1 - https://ijsts.shirazu.ac.ir/article_2819_7710b20c222e8a91298a9202beade963.pdf ER -