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Predictive discordancy tests for exponential observations
Authors:Seymour Geisser
Institution:School of Statistics, University of Minnesota, 270 Vincent Hall, 206 Church Street S. E., Minneapolis, Minnesota 55455 U. S. A.
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.
Keywords:Bayesian approach  conditional predictive discordancy (CPD) tests  discordancy tests  translated exponential distribution  unconditional predictive discordancy (UPD) tests
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