{"title":"提高统计效率的历史","authors":"R. Barton, Marvin K. Nakayama, L. Schruben","doi":"10.5555/3242181.3242193","DOIUrl":null,"url":null,"abstract":"Statistical efficiency has been a focus of research since the inception of discrete-event simulation modeling and analysis, with origins perhaps twenty years before the first Winter Simulation Conference. We review important work in the design of simulation experiments, variance reduction through dependence structures, and efficient rare-event simulation. The focus is on the early developments, although some recent innovations also receive mention.","PeriodicalId":145780,"journal":{"name":"2017 Winter Simulation Conference (WSC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"History of improving statistical efficiency\",\"authors\":\"R. Barton, Marvin K. Nakayama, L. Schruben\",\"doi\":\"10.5555/3242181.3242193\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Statistical efficiency has been a focus of research since the inception of discrete-event simulation modeling and analysis, with origins perhaps twenty years before the first Winter Simulation Conference. We review important work in the design of simulation experiments, variance reduction through dependence structures, and efficient rare-event simulation. The focus is on the early developments, although some recent innovations also receive mention.\",\"PeriodicalId\":145780,\"journal\":{\"name\":\"2017 Winter Simulation Conference (WSC)\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-12-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 Winter Simulation Conference (WSC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5555/3242181.3242193\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Winter Simulation Conference (WSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5555/3242181.3242193","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Statistical efficiency has been a focus of research since the inception of discrete-event simulation modeling and analysis, with origins perhaps twenty years before the first Winter Simulation Conference. We review important work in the design of simulation experiments, variance reduction through dependence structures, and efficient rare-event simulation. The focus is on the early developments, although some recent innovations also receive mention.