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
675
PDF
637

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

Section

Research Articles