{"title":"Alternating renewal processes with instantaneous rewards","authors":"Suyono, Ibnu Hadi, Mulyono","doi":"10.1080/15326349.2021.1975548","DOIUrl":null,"url":null,"abstract":"Abstract Consider an alternating renewal process that, over time, alternates between two states (up and down), starting in upstate at time 0. Associated with each up interval a reward which is a function of the interval length. Similarly, we associate with each down interval a reward which depends on the length of it through some function. We call the total reward earned in the time interval an instantaneous alternating renewal reward process. In this article, we derive the probability distribution of the total reward and its expected value. The results are presented in the form of Laplace transforms.","PeriodicalId":21970,"journal":{"name":"Stochastic Models","volume":"38 1","pages":"51 - 69"},"PeriodicalIF":0.5000,"publicationDate":"2021-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Stochastic Models","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1080/15326349.2021.1975548","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"STATISTICS & PROBABILITY","Score":null,"Total":0}
引用次数: 0
Abstract
Abstract Consider an alternating renewal process that, over time, alternates between two states (up and down), starting in upstate at time 0. Associated with each up interval a reward which is a function of the interval length. Similarly, we associate with each down interval a reward which depends on the length of it through some function. We call the total reward earned in the time interval an instantaneous alternating renewal reward process. In this article, we derive the probability distribution of the total reward and its expected value. The results are presented in the form of Laplace transforms.
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.