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, Pages 21-33 PDF (7.97 M) | ||
Document Type: Original Article | ||
DOI: 10.21608/esju.2004.313571 | ||
Author | ||
Essam K. Al-Hussaini* | ||
Mathematics Department , University of Assiut, Assiut | ||
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 | ||
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