Bayesian Estimation Using Progressively Censored Masked Data Under Asymmetric Loss Function
Keywords:
Asymmetic Loss function, Bayes estimate, Competing risk, Masked data, Relative riskAbstract
Competing risk modeling is very useful for the assessment of component characteristics in reliability studies. In this paper, we consider the competing risk modeling of progressively censored data when units under lifetest are series system of two components. Assuming the lifetime distributions of components to be exponentially distributed, we obtain Bayes estimate of parameters and components relative risks under asymmetric loss functions. Bayesian computation is done using Lindley’s approximation. A simulation study is presented for numerical illustrations.
Journal of Institute of Science and Technology, 2015, 20(1): 40-50
Downloads
Published
How to Cite
Issue
Section
License
The copyright of the articles is held by the Institute of Science and Technology, Tribhuvan University (IoST- TU). The views and interpretations in this journal are those of the author(s). They are not attributable to the IoST-TU and do not imply the expression of any opinion concerning the legal status of any country, territory, city, area of its authorities, or concerning the delimitation of its frontiers or boundaries. The corresponding author is responsible for any conflict of interest between authors and others.
The articles in the Journal of Institute of Science and Technology are licensed under a Creative Commons Attribution- Share Alike 4.0 International License (CC: BY-NC), which permits use, distribution and reproduction in any medium or format, remix, transfer, and build upon the materials for any purpose, even commercially, provided the original work is properly cited.
