Abstract
SYNOPTIC ABSTRACTThis article presents the study of prediction analysis on future ordered sample observations from a two-component contagious model of geometric distribution using a Bayesian approach. To be more specific, a theoretical methodology is proposed to get approximate point and interval prediction of ordered statistics in the future samples when these samples are censored by right type-I, right type-II, and left censoring techniques. Point predictors are developed using a symmetric and an asymmetric loss function. To show the usefulness of the derived mathematical results, the study applies them to real-world data and considers, for illustration, the computation of point prediction for quartiles and 95% prediction intervals for median and inter-quartile range in the future censored samples.
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