Predictive Discordancy Tests for Exponential Observations

Abstract

Using a Bayesian approach, unconditional and conditional predictive testing procedures are proposed for the detection of discordant observations for the translated exponential distribution in the presence of censored observations. Une approche bayesienne est utilisee afin de proposer des tests non-conditionnels et conditionnels de prediction pour detecter des observations discordantes. On traite le cas d'observations censurees provenant d'une loi exponentielle translatee.