Bayesian Normal and T-K Approximations for Shape Parameter of Type-I Dagum Distribution

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Hummara Sultan 1 Uzma Jan 1 S.P Ahmad 1

1. Department of Statistics, University of Kashmir, Srinagar, 190006, India

* Corresponding author.


Received: 25 Feb. 2018 / Revised: 8 Mar. 2018 / Accepted: 15 Mar. 2018 / Published: 8 Jul. 2018

Index Terms

Dagum distribution, Prior Distribution, Bayesian Statistics Normal approximation, T-K approximation


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.

Cite This Paper

Hummara Sultan, Uzma Jan, S.P.Ahmad,"Bayesian Normal and T-K Approximations for Shape Parameter of Type-I Dagum Distribution", International Journal of Mathematical Sciences and Computing(IJMSC), Vol.4, No.3, pp.13-22, 2018. DOI: 10.5815/ijmsc.2018.03.02


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