Adaptive Progressive Type-II Censoring
نویسندگان
چکیده
Extending the model of progressive Type-II censoring, an adaption process is introduced. It allows to choose the next censoring number taking into account both the previous censoring numbers and the previous failure times. After deriving some distributional results, it is shown that maximum likelihood estimators coincide with those in deterministic progressive Type-II censoring. Finally, inferential results for the oneand two-parameter exponential distribution are established. Using the independence of normalized spacings, the distributions of the maximum likelihood estimators are presented. Moreover, explicit confidence bounds and tests of hypotheses can be established.
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