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Showing 2 results for progressive Type Ii Censoring
Mohamad Bayat, Jafar Ahmadi,
Volume 6, Issue 2 (2-2013)
Abstract
Nowadays, the use of various types of censoring plan in studies of lifetime engineering systems and industrial experiment are worthwhile. In this paper, by using the idea in Cramer and Iliopoulos (2010), an adaptive progressive Type-I censoring is introduced. It is assumed that the next censoring number is random variable and depends on the previous censoring numbers, previous failure times and censoring times. General distributional results are obtained in explicit analytic forms. It is shown that maximum likelihood estimators coincide with those in deterministic progressive Type-I censoring. Finally, in order to illustrate and make a comparison, simulation study is done for one-parameter exponential distribution.
Elham Basiri, Seyed Mahdi Salehi,
Volume 14, Issue 1 (8-2020)
Abstract
Nowadays inference based on censored samples has been studied by many researchers. One of the most common censoring methods is progressively type II censoring. In this model, n items are put on the test. At each failure times some of the remaining items randomly withdrawn from the test. This process continues until for a pre-fixed value as m, failure times of m items are observed. For determining the best number for the items on the test different criteria can be considered. One of the most important factors that can be considered is the cost criterion. In this paper, by considering cost function and Weibull distribution for the lifetime of items, we find the optimal value for the sample size, i.e. n. In order to evaluate, the obtained results one example based on real data is given.
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