TY - JOUR
ID - 2819
TI - USING FUZZY KNOWLEDGE OF A NUISANCE PARAMETER FOR HYPOTHESIS TESTING
JO - Iranian Journal of Science and Technology (Sciences)
JA - IJSTS
LA - en
SN - 1028-6276
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 - http://ijsts.shirazu.ac.ir/article_2819.html
L1 - http://ijsts.shirazu.ac.ir/article_2819_7710b20c222e8a91298a9202beade963.pdf
ER -