{"title":"风险和危机管理操作中复杂系统的恢复时间","authors":"P. Artikis, Constantinos T. Artikis","doi":"10.1504/IJDSRM.2009.027249","DOIUrl":null,"url":null,"abstract":"It is generally recognised that a random sum of discrete random variables and a maximum of a random number of non-negative random variables are very powerful analytical concepts for formulating effective stochastic models with significant applications in many practical disciplines. The paper combines these concepts in order to formulate a stochastic model. Properties and applications in risk and crisis management operations of the formulated stochastic model are also established.","PeriodicalId":170104,"journal":{"name":"International Journal of Decision Sciences, Risk and Management","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Recovery time of a complex system in risk and crisis management operations\",\"authors\":\"P. Artikis, Constantinos T. Artikis\",\"doi\":\"10.1504/IJDSRM.2009.027249\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"It is generally recognised that a random sum of discrete random variables and a maximum of a random number of non-negative random variables are very powerful analytical concepts for formulating effective stochastic models with significant applications in many practical disciplines. The paper combines these concepts in order to formulate a stochastic model. Properties and applications in risk and crisis management operations of the formulated stochastic model are also established.\",\"PeriodicalId\":170104,\"journal\":{\"name\":\"International Journal of Decision Sciences, Risk and Management\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-07-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Decision Sciences, Risk and Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/IJDSRM.2009.027249\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Decision Sciences, Risk and Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJDSRM.2009.027249","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Recovery time of a complex system in risk and crisis management operations
It is generally recognised that a random sum of discrete random variables and a maximum of a random number of non-negative random variables are very powerful analytical concepts for formulating effective stochastic models with significant applications in many practical disciplines. The paper combines these concepts in order to formulate a stochastic model. Properties and applications in risk and crisis management operations of the formulated stochastic model are also established.