Bayesian Approximation Techniques of Inverse Exponential Distribution with Applications in Engineering | Zendy

Kawsar Fatima | Zendy; S. P. Ahmad | Zendy

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Bayesian Approximation Techniques of Inverse Exponential Distribution with Applications in Engineering

Author(s) -

Kawsar Fatima,

S. P. Ahmad

Publication year - 2018

Publication title -

international journal of mathematical sciences and computing

Language(s) - English

Resource type - Journals

eISSN - 2310-9033

pISSN - 2310-9025

DOI - 10.5815/ijmsc.2018.02.05

Subject(s) - prior probability , exponential family , inverse , exponential function , bayesian probability , mathematics , distribution (mathematics) , exponential distribution , inverse problem , computer science , inverse distribution , mathematical optimization , statistics , mathematical analysis , heavy tailed distribution , geometry

The present study is concerned with the estimation of Inverse Exponential distribution using various Bayesian approximation techniques like normal approximation, Tierney and Kadane (T-K) Approximation. Different informative and non-informative priors are used to obtain the Baye’s estimate of Inverse Exponential distribution under different approximation techniques. A simulation study has also been conducted for comparison of Baye’s estimates obtained under different approximation using different priors.

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