Systems Engineering and Electronics

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E-Bayesian estimation for competing risk model under progressively hybrid censoring

Min Wu*, Yimin Shi, and Yan Wang   

  1. Department of Applied Mathematics, Northwestern Polytechnical University, Xi’an 710072, China
  • Online:2016-08-24 Published:2010-01-03


This paper considers the Bayesian and expected Bayesian (E-Bayesian) estimations of the parameter and relia- bility function for competing risk model from Gompertz distribution under Type-I progressively hybrid censoring scheme (PHCS). The estimations are obtained based on Gamma conjugate prior for the parameter under squared error (SE) and Linex loss functions. The simulation results are provided for the comparison purpose and one data set is analyzed.