Two Sample Bayes Prediction Scenario Under Right Censored Repairable System

نویسندگان

  • Gyan Prakash
  • Sarvesh Kumar
  • Paulo Canas Rodrigues
چکیده

The objective of present article is to study the behavior of Bayes prediction length of interval under Two Sample Bayes prediction scenario. A repairable system is considered here with assumption that the repair hazard rate increases monotonically as time parameter increases. Based on right item censoring criterion, the Bayes prediction length of interval and Highest Posterior Density (HPD) intervals have been obtain here for underlying model.

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تاریخ انتشار 2015