Bayesian Estimation Using Progressively Censored Masked Data Under Asymmetric Loss Function

Authors

  • S.K. Tomer Department of Statistics, Banaras Hindu University
  • Jitendra Kumar Department of Statistics, Banaras Hindu University

DOI:

https://doi.org/10.3126/jist.v20i1.13909

Keywords:

Asymmetic Loss function, Bayes estimate, Competing risk, Masked data, Relative risk

Abstract

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

Download data is not yet available.
Abstract
694
PDF
665

Downloads

Published

2015-11-25

How to Cite

Tomer, S., & Kumar, J. (2015). Bayesian Estimation Using Progressively Censored Masked Data Under Asymmetric Loss Function. Journal of Institute of Science and Technology, 20(1), 40–50. https://doi.org/10.3126/jist.v20i1.13909

Issue

Vol. 20 No. 1 (2015)

Section

Research Articles

License

The views and interpretations in this journal are those of the author(s). They are not attributable to the Institute of Science and Technology, T.U. 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 of boundaries.

The copyright of the articles is held by the Institute of Science and Technology, T.U.