{"title":"一种具有给定精度和可靠性的随机过程建模方法","authors":"T. Ianevych, I. Rozora, A. Pashko","doi":"10.1515/mcma-2022-2110","DOIUrl":null,"url":null,"abstract":"Abstract The paper is devoted to one possible way of the model construction for the stationary Gaussian process with given accuracy and reliability in functional space C ( [ 0 , T ] ) {C([0,T])} .","PeriodicalId":46576,"journal":{"name":"Monte Carlo Methods and Applications","volume":"28 1","pages":"135 - 147"},"PeriodicalIF":0.6000,"publicationDate":"2022-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"On one way of modeling a stochastic process with given accuracy and reliability\",\"authors\":\"T. Ianevych, I. Rozora, A. Pashko\",\"doi\":\"10.1515/mcma-2022-2110\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract The paper is devoted to one possible way of the model construction for the stationary Gaussian process with given accuracy and reliability in functional space C ( [ 0 , T ] ) {C([0,T])} .\",\"PeriodicalId\":46576,\"journal\":{\"name\":\"Monte Carlo Methods and Applications\",\"volume\":\"28 1\",\"pages\":\"135 - 147\"},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2022-03-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Monte Carlo Methods and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1515/mcma-2022-2110\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"STATISTICS & PROBABILITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Monte Carlo Methods and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1515/mcma-2022-2110","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"STATISTICS & PROBABILITY","Score":null,"Total":0}
On one way of modeling a stochastic process with given accuracy and reliability
Abstract The paper is devoted to one possible way of the model construction for the stationary Gaussian process with given accuracy and reliability in functional space C ( [ 0 , T ] ) {C([0,T])} .
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