arXiv · 1405.5841
Parameter Estimates of General Failure Rate Model: A Bayesian Approach
Abstract
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.
Explore related subjects
Keep this discovery
Asok K. Nanda, Sudhansu S. Maiti, Chanchal Kundu, Amarjit Kundu. 2014-05-22. Parameter Estimates of General Failure Rate Model: A Bayesian Approach. https://arxiv.org/abs/1405.5841
Cite the original work for its findings. Save a collection to share your selection of sources.