Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1703853 | Applied Mathematical Modelling | 2013 | 11 Pages |
Abstract
In this paper, mathematical properties of Lindley distribution via Bayesian approach are derived under different loss functions. These properties include: Bayes Estimators, posterior risks and failure rate function for simulation scheme. Elicitation of hyperparameters is also discussed. A real life application to waiting time data at the bank is also described for the developed procedures (also using WinBUGS). Results are compared on the basis of posterior risk.
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
Authors
Sajid Ali, Muhammad Aslam, Syed Mohsin Ali Kazmi,