Bayesian Approximation Techniques of Inverse Exponential Distribution with Applications in Engineering

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Author(s)

Kawsar Fatima 1,* S.P Ahmad 1

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

* Corresponding author.

DOI: https://doi.org/10.5815/ijmsc.2018.02.05

Received: 6 Feb. 2018 / Revised: 1 Mar. 2018 / Accepted: 15 Mar. 2018 / Published: 8 Apr. 2018

Index Terms

Bayesian Estimation, Prior Distribution, Normal Approximation, T-K Approximation

Abstract

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. 

Cite This Paper

Kawsar Fatima, S.P Ahmad,"Bayesian Approximation Techniques of Inverse Exponential Distribution with Applications in Engineering", International Journal of Mathematical Sciences and Computing(IJMSC), Vol.4, No.2, pp.49-62, 2018. DOI: 10.5815/ijmsc.2018.02.05

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