{"title":"普通随机数模拟的分析:对hekes et al.(1976)的注解","authors":"J. Kleijnen","doi":"10.1145/1102838.1102839","DOIUrl":null,"url":null,"abstract":"If different random number streams are used then traditional Analysis of Variance can be applied. However, the standard errors of the estimated effects should account for heterogeneity of variance. If common random numbers are used then the quite complicated procedure proposed by Heikes et al. in 1976, may be replaced by the simple Student t-statistic combined with the so-called Bonferroni - inequality. The statistical techniques are illustrated with a simple case study.","PeriodicalId":138785,"journal":{"name":"ACM Sigsim Simulation Digest","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1979-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Analysis of simulation with common random numbers: a note on Heikes et al. (1976)\",\"authors\":\"J. Kleijnen\",\"doi\":\"10.1145/1102838.1102839\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"If different random number streams are used then traditional Analysis of Variance can be applied. However, the standard errors of the estimated effects should account for heterogeneity of variance. If common random numbers are used then the quite complicated procedure proposed by Heikes et al. in 1976, may be replaced by the simple Student t-statistic combined with the so-called Bonferroni - inequality. The statistical techniques are illustrated with a simple case study.\",\"PeriodicalId\":138785,\"journal\":{\"name\":\"ACM Sigsim Simulation Digest\",\"volume\":\"43 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1979-12-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM Sigsim Simulation Digest\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1102838.1102839\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Sigsim Simulation Digest","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1102838.1102839","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis of simulation with common random numbers: a note on Heikes et al. (1976)
If different random number streams are used then traditional Analysis of Variance can be applied. However, the standard errors of the estimated effects should account for heterogeneity of variance. If common random numbers are used then the quite complicated procedure proposed by Heikes et al. in 1976, may be replaced by the simple Student t-statistic combined with the so-called Bonferroni - inequality. The statistical techniques are illustrated with a simple case study.