{"title":"无均值间更新极值更新过程中解析固定有限时间大概率分布的逼近","authors":"P. H. Brill, M. Huang","doi":"10.1017/s0269964822000122","DOIUrl":null,"url":null,"abstract":"We consider an extreme renewal process with no-mean heavy-tailed Pareto(II) inter-renewals and shape parameter \n \n \n $\\alpha$\n \n where \n \n \n $0<\\alpha \\leq 1$\n \n . Two steps are required to derive integral expressions for the analytic probability density functions (pdfs) of the fixed finite time \n \n \n $t$\n \n excess, age, and total life, and require extensive computations. Step 1 creates and solves a Volterra integral equation of the second kind for the limiting pdf of a basic underlying regenerative process defined in the text, which is used for all three fixed finite time \n \n \n $t$\n \n pdfs. Step 2 builds the aforementioned integral expressions based on the limiting pdf in the basic underlying regenerative process. The limiting pdfs of the fixed finite time \n \n \n $t$\n \n pdfs as \n \n \n $t\\rightarrow \\infty$\n \n do not exist. To reasonably observe the large \n \n \n $t$\n \n pdfs in the extreme renewal process, we approximate them using the limiting pdfs having simple well-known formulas, in a companion renewal process where inter-renewals are right-truncated Pareto(II) variates with finite mean; this does not involve any computations. The distance between the approximating limiting pdfs and the analytic fixed finite time large \n \n \n $t$\n \n pdfs is given by an \n \n \n $L_{1}$\n \n metric taking values in \n \n \n $(0,1)$\n \n , where “near \n \n \n $0$\n \n ” means “close” and “near \n \n \n $1$\n \n ” means “far”.","PeriodicalId":54582,"journal":{"name":"Probability in the Engineering and Informational Sciences","volume":"52 1","pages":""},"PeriodicalIF":0.7000,"publicationDate":"2022-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"On approximation of the analytic fixed finite time large t probability distributions in an extreme renewal process with no-mean inter-renewals\",\"authors\":\"P. H. Brill, M. Huang\",\"doi\":\"10.1017/s0269964822000122\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We consider an extreme renewal process with no-mean heavy-tailed Pareto(II) inter-renewals and shape parameter \\n \\n \\n $\\\\alpha$\\n \\n where \\n \\n \\n $0<\\\\alpha \\\\leq 1$\\n \\n . Two steps are required to derive integral expressions for the analytic probability density functions (pdfs) of the fixed finite time \\n \\n \\n $t$\\n \\n excess, age, and total life, and require extensive computations. Step 1 creates and solves a Volterra integral equation of the second kind for the limiting pdf of a basic underlying regenerative process defined in the text, which is used for all three fixed finite time \\n \\n \\n $t$\\n \\n pdfs. Step 2 builds the aforementioned integral expressions based on the limiting pdf in the basic underlying regenerative process. The limiting pdfs of the fixed finite time \\n \\n \\n $t$\\n \\n pdfs as \\n \\n \\n $t\\\\rightarrow \\\\infty$\\n \\n do not exist. To reasonably observe the large \\n \\n \\n $t$\\n \\n pdfs in the extreme renewal process, we approximate them using the limiting pdfs having simple well-known formulas, in a companion renewal process where inter-renewals are right-truncated Pareto(II) variates with finite mean; this does not involve any computations. The distance between the approximating limiting pdfs and the analytic fixed finite time large \\n \\n \\n $t$\\n \\n pdfs is given by an \\n \\n \\n $L_{1}$\\n \\n metric taking values in \\n \\n \\n $(0,1)$\\n \\n , where “near \\n \\n \\n $0$\\n \\n ” means “close” and “near \\n \\n \\n $1$\\n \\n ” means “far”.\",\"PeriodicalId\":54582,\"journal\":{\"name\":\"Probability in the Engineering and Informational Sciences\",\"volume\":\"52 1\",\"pages\":\"\"},\"PeriodicalIF\":0.7000,\"publicationDate\":\"2022-05-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Probability in the Engineering and Informational Sciences\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1017/s0269964822000122\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENGINEERING, INDUSTRIAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Probability in the Engineering and Informational Sciences","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1017/s0269964822000122","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
On approximation of the analytic fixed finite time large t probability distributions in an extreme renewal process with no-mean inter-renewals
We consider an extreme renewal process with no-mean heavy-tailed Pareto(II) inter-renewals and shape parameter
$\alpha$
where
$0<\alpha \leq 1$
. Two steps are required to derive integral expressions for the analytic probability density functions (pdfs) of the fixed finite time
$t$
excess, age, and total life, and require extensive computations. Step 1 creates and solves a Volterra integral equation of the second kind for the limiting pdf of a basic underlying regenerative process defined in the text, which is used for all three fixed finite time
$t$
pdfs. Step 2 builds the aforementioned integral expressions based on the limiting pdf in the basic underlying regenerative process. The limiting pdfs of the fixed finite time
$t$
pdfs as
$t\rightarrow \infty$
do not exist. To reasonably observe the large
$t$
pdfs in the extreme renewal process, we approximate them using the limiting pdfs having simple well-known formulas, in a companion renewal process where inter-renewals are right-truncated Pareto(II) variates with finite mean; this does not involve any computations. The distance between the approximating limiting pdfs and the analytic fixed finite time large
$t$
pdfs is given by an
$L_{1}$
metric taking values in
$(0,1)$
, where “near
$0$
” means “close” and “near
$1$
” means “far”.
期刊介绍:
The primary focus of the journal is on stochastic modelling in the physical and engineering sciences, with particular emphasis on queueing theory, reliability theory, inventory theory, simulation, mathematical finance and probabilistic networks and graphs. Papers on analytic properties and related disciplines are also considered, as well as more general papers on applied and computational probability, if appropriate. Readers include academics working in statistics, operations research, computer science, engineering, management science and physical sciences as well as industrial practitioners engaged in telecommunications, computer science, financial engineering, operations research and management science.