Bayesian normal and T-K approximations for shape parameter of Type-I Dagum distribution
Автор: Hummara Sultan, Uzma Jan, S.P.Ahmad
Журнал: International Journal of Mathematical Sciences and Computing @ijmsc
Статья в выпуске: 3 vol.4, 2018 года.
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Dagum distribution is a statistical distribution used closely for fitting income and wealth distributions. This distribution has wide application in fields like reliability theory survival analysis, actuarial sciences, and meteorological data. In this article, we obtained Bayes estimators for the shape parameter of Dagum distribution using approximation techniques like normal and T-K approximations. Moreover different informative priors have been considered and a simulation study and three real data sets have been considered to study the efficiency of obtained results.
Dagum distribution, Prior Distribution, Bayesian Statistics Normal approximation, T-K approximation
Короткий адрес: https://sciup.org/15016671
IDR: 15016671 | DOI: 10.5815/ijmsc.2018.03.02
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