Bayesian Prediction of the Median of Future Observations Based on Finite Mixture Models | ||||
The Egyptian Statistical Journal | ||||
Article 3, Volume 48, Issue 1, June 2004, Page 21-33 | ||||
Document Type: Original Article | ||||
DOI: 10.21608/esju.2004.313571 | ||||
View on SCiNiTO | ||||
Abstract | ||||
Bayesian predictive density functions of the median of a set of odd and even number of future order statistics are obtained when the observations (informative and future) are assumed to follow a finite mixture of components of general form and type 1 censoring is imposed on the informative sample. The prior belief of the experimenter is measured by a general class of distributions which includes most priors used in literature. A mixture of two Weibull components model is given as an application. A numerical example presents Bayesian prediction bounds of the future median of observations based on a finite mixture of two exponential components. | ||||
Keywords | ||||
Type 1 Censoring; Finite Mixture; Two; Sample Prediction; Prediction Intervals | ||||
Statistics Article View: 22 |
||||