A reliability model based on the gamma process and its analytic theory

Author:

Wenocur Michael L.

Abstract

This paper presents a variation of a state-dependent reliability model first proposed in Lemoine and Wenocur [4], [5], and develops some of its corresponding analytical theory. In particular, we develop a reliability model in which system state is a random process satisfying a stochastic differential equation where the driving process is gamma distributed.

Publisher

Cambridge University Press (CUP)

Subject

Applied Mathematics,Statistics and Probability

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Nonparametric Bayesian volatility estimation for gamma-driven stochastic differential equations;Bernoulli;2022-11-01

2. Maintenance Management and Organization;Recent Advances in Maintenance and Infrastructure Management;2009

3. On the collapsibility of lifetime regression models;Advances in Applied Probability;2003-09

4. Ornstein–Uhlenbeck process with quadratic killing;Journal of Applied Probability;1990-09

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