Approximation Techniques for Estimation of Parameters of Rayleigh Lomax Distribution under Different Priors

S.P. Ahmad¹ , Kawsar Fatima²

Section:Research Paper, Product Type: Isroset-Journal
Vol.5 , Issue.6 , pp.116-122, Dec-2018

CrossRef-DOI:   https://doi.org/10.26438/ijsrmss/v5i6.116122

Online published on Dec 31, 2018

Copyright © S.P. Ahmad, Kawsar Fatima . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
In this paper Bayes estimators for the parameter of Rayleigh Lomax (RL) distribution are obtained by using Bayesian approximation techniques like normal and T-K approximations. Moreover different single, double and triple priors have been considered. Also, simulation data sets have been considered to study the efficiency of obtained results using R- software.

Key-Words / Index Term :
Rayleigh Lomax distribution, priors, normal approximation, T-K approximation

References :
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