Inference for an Exponential Distribution based on Combined Generalized Progressive Hybrid Censoring

In this paper, we propose a new type censoring scheme named a combined generalized progressive hybrid censoring scheme. In this new type censoring scheme, the experiment is assured to stop at a pre-assigned time. This censoring scheme is designed to correct the drawbacks in the generalized progressive hybrid censoring scheme. Also, we discuss inference for one parameter exponential distribution under combined generalized progressive hybrid censoring scheme. We derive the moment generating function of the maximum likelihood estimator of scale parameter of exponential distribution and the resulting lower confidence bound under combined generalized progressive hybrid censoring scheme.