Title : ( Hypotheses testing with the two-parameter Pareto distribution on the basis of records in fuzzy environment )
Authors: Ali Reza Saeidi , Mohammad Ghasem Akbari , Mahdi Doostparast ,Access to full-text not allowed by authors
Abstract
In problems of testing statistical hypotheses, we may be confronted with fuzzy concepts. There are also situations in which the available data are {\it record statistics} such as weather and sports. In this paper, we consider the problem of testing fuzzy hypotheses on the basis of records.Pareto distribution is investigated in more details since it is used in applications including economic and life testing analysis. For illustrative proposes, a real data set on annual wage is analyzed using the results obtained.
Keywords
, decision analysis, fuzzy hypotheses, pareto distribution, record data, testing hypotheses@article{paperid:1041666,
author = {Ali Reza Saeidi and Mohammad Ghasem Akbari and Doostparast, Mahdi},
title = {Hypotheses testing with the two-parameter Pareto distribution on the basis of records in fuzzy environment},
journal = {Kybernetika},
year = {2014},
volume = {50},
number = {5},
month = {September},
issn = {0023-5954},
pages = {744--757},
numpages = {13},
keywords = {decision analysis; fuzzy hypotheses; pareto distribution; record data; testing hypotheses},
}
%0 Journal Article
%T Hypotheses testing with the two-parameter Pareto distribution on the basis of records in fuzzy environment
%A Ali Reza Saeidi
%A Mohammad Ghasem Akbari
%A Doostparast, Mahdi
%J Kybernetika
%@ 0023-5954
%D 2014