In this paper we consider several statistical models for censored exponential data. We prove a large deviation result for the maximum likelihood estimators (MLEs) of each model, and a unique result for the posterior distributions which works well for all the cases. Finally, comparing the large deviation rate functions for MLEs and posterior distributions, we show that a
typical feature fails for one model; moreover we illustrate the relation between this fact and a well known result for curved exponential models.