Statistical Analysis of the Mixture of Inverted Exponential Distribution Under Bayesian Approach
Tabasam Sultana *
Department of Statistics, Quaid-i-Azam University, Islamabad, Pakistan.
Muhammad Aslam
Department of Basic Sciences, Ripha International University, Islamabad, Pakistan.
Javid Shabbir
Department of Statistics, Quaid-i-Azam University, Islamabad, Pakistan.
*Author to whom correspondence should be addressed.
Abstract
This paper is about studying a 3-component mixture of the Inverted Exponential distributions under Bayesian view point. The type-I right censored sampling scheme is considered because of its extensive use in reliability theory and survival analysis. The expressions for the Bayes estimators and their posterior risks are derived under dierent loss scenarios. In case, no or little prior information is available, elicitation of hyper parameters is given. In order to study numerically, the execution of the Bayes estimators under dierent loss functions, their statistical properties have been simulated for dierent sample sizes and test termination times. A real life data example is given to illustrate the study. Graphical representation of the simulation analysis results is also given to study the properties of the Bayes estimators.
Keywords: Bayes estimators, censoring, informative prior, loss functions, posterior risks.