Exact Likelihood Inference for an Exponential Parameter Under Progressive Hybrid Censoring Schemes
The purpose of this chapter is to propose two types of progressive hybrid censoring schemes in life-testing experiments and develop exact inference for the mean of the exponential distribution. The exact distribution of the maximum likelihood estimator and an exact lower confidence bound for the mean lifetime are obtained under both types of progressive hybrid censoring schemes. Illustrative examples are finally presented.
Keywords and PhrasesProgressive censoring hybrid censoring life-testing exponential distribution maximum likelihood estimator conditional moment-generating function exact inference lower confidence bound truncated gamma density
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- 1.Balakrishnan, N. and Aggarwala, R. (2000). Progressive Censoring: Theory, Methods, and Applications, Birkhäuser, Boston.Google Scholar