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Predictions for Progressively Type-II Censored Failure Times from the Half Triangle Distribution

  • 투고 : 2013.11.05
  • 심사 : 2013.12.22
  • 발행 : 2014.01.31

초록

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.

키워드

참고문헌

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피인용 문헌

  1. Type-II stepwise progressive censoring vol.23, pp.1, 2016, https://doi.org/10.5351/CSAM.2016.23.1.057