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Parameter Estimates of General Failure Rate Model: A Bayesian Approach by Nanda, Asok K.; Maiti, Sudhansu S.; Kundu, Chanchal; Kundu, Amarjit is a scholarly article available to read on EtoBox.

What is Parameter Estimates of General Failure Rate Model: A Bayesian Approach about?

The failure rate function plays an important role in studying the lifetime distributions in reliability theory and life testing models. A study of the general failure rate model $r(t)=a+bt^{\theta-1}$, under squared error loss function taking $a$ and $b$ independent exponential random variables has been analyzed in the literature. In this article, we consider $a$ and $b$ not necessarily independent. The estimates of the parameters $a$ and $b$ under squared error loss, linex loss and entropy loss functions are obtained here.

Author

Nanda, Asok K.; Maiti, Sudhansu S.; Kundu, Chanchal; Kundu, Amarjit

Published

2014

Language

EN