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Predictions for Progressively Type-II Censored Failure Times from the Half Triangle Distribution
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 Title & Authors
Predictions for Progressively Type-II Censored Failure Times from the Half Triangle Distribution
Seo, Jung-In; Kang, Suk-Bok;
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 Abstract
This paper deals with the problem of predicting censored data in a half triangle distribution with an unknown parameter based on progressively Type-II censored samples. We derive maximum likelihood predictors and some approximate maximum likelihood predictors of censored failure times in a progressively Type-II censoring scheme. In addition, we construct the shortest-length predictive intervals for censored failure times. Finally, Monte Carlo simulations are used to assess the validity of the proposed methods.
 Keywords
Approximate maximum likelihood predictor;Approximate predictive maximum likelihood estimator;Half triangle distribution;Prediction interval;Progressively Type-II censored sample;
 Language
English
 Cited by
1.
Type-II stepwise progressive censoring, Communications for Statistical Applications and Methods, 2016, 23, 1, 57  crossref(new windwow)
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