Author(s):
1. Sofi Mudasir:
Department of Statistics, University of Kashmir,Srinagar,India
2. Uzma Jan:
Department of Statistics, University of Kashmir,Srinagar,India
3. S.P. Ahmad:
Department of Statistics, University of Kashmir,Srinagar,India
Abstract:
In this manuscript, different statistical properties of the Weighted Rayleigh distribution have been derived. The model has been compared with the sub models for flexibility and efficiency using real life data sets. Further, the parameters of the model are estimated using the maximum likelihood approach. The variability of different priors as well as approximation techniques has been compared using posterior variance. The study depicts that Gumbel type II prior especially under normal approximation technique can be preferred.
Page(s):
321-348
DOI:
DOI not available
Published:
Journal: Pakistan Journal of Statistics, Volume: 35, Issue: 4, Year: 2019
Keywords:
Weighted Rayleigh Distribution
,
Posterior variance
,
maximum likelihood estimation
,
NULLApproximation techniques
References:
References are not available for this document.
Citations
Citations are not available for this document.