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Bayesian Analysis of Power Function Distribution Using Different Loss Functions
2014
Power function distribution is a flexible lifetime distribution that may offer a good fit to some failure data sets. In this paper, we obtain Bayesian estimators of the shape parameter of Power function distribution. For the Posterior distribution of this parameter, we consider Exponential Prior, Pareto Prior, Chi-Square Prior, Quasi Prior
Keywords:
- Bayesian linear regression
- Inverse-Wishart distribution
- Scaled inverse chi-squared distribution
- Compound probability distribution
- Categorical distribution
- Mathematical optimization
- Log-Cauchy distribution
- Statistics
- Inverse-gamma distribution
- Inverse-chi-squared distribution
- Mathematics
- Dirichlet distribution
- Applied mathematics
- Conjugate prior
- Posterior predictive distribution
- Gamma distribution
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