Some stochastic comparison results for frailty and resilience models

IF 0.5 4区数学 Q4 STATISTICS & PROBABILITY

Stochastic Models Pub Date : 2024-07-31 DOI:10.1080/15326349.2024.2375203

Arindam Panja, Pradip Kundu, Biswabrata Pradhan

引用次数: 0

Abstract

Frailty and resilience models provide a way to introduce random effects in hazard and reversed hazard rate modeling by random variables, called frailty and resilience random variables, respectively...

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虚弱模型和弹性模型的一些随机比较结果

虚弱模型和恢复力模型提供了一种方法，通过随机变量（分别称为虚弱随机变量和恢复力随机变量）在危险率和反向危险率模型中引入随机效应...

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Stochastic Models 数学-统计学与概率论

CiteScore

1.30

自引率

14.30%

发文量

审稿时长

>12 weeks

期刊介绍： Stochastic Models publishes papers discussing the theory and applications of probability as they arise in the modeling of phenomena in the natural sciences, social sciences and technology. It presents novel contributions to mathematical theory, using structural, analytical, algorithmic or experimental approaches. In an interdisciplinary context, it discusses practical applications of stochastic models to diverse areas such as biology, computer science, telecommunications modeling, inventories and dams, reliability, storage, queueing theory, mathematical finance and operations research.