{"title":"用贝叶斯熵法评定测量不确定度","authors":"G. Iuculano, M. Cox, G. Pellegrinil, A. Zanobini","doi":"10.1109/IMTC.2004.1351289","DOIUrl":null,"url":null,"abstract":"This paper discusses the possibility of using Bayesian inference methods and entropy optimization principles for the evaluation of uncertainty in a measurement process. In particular, the proposed approach is applied to the recalibration of a measurement device which incorporates a calibrated reference quantity. An a priori estimate and an uncertainty for the reference quantity are supposed to be available from a previous calibration. The adopted method is shown to produce a posteriori estimates for the reference quantity, regarded as the recalibrated value and for the measurand which are correlated.","PeriodicalId":386903,"journal":{"name":"Proceedings of the 21st IEEE Instrumentation and Measurement Technology Conference (IEEE Cat. No.04CH37510)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Evaluation of measurement uncertainty by Bayesian-entropic approach\",\"authors\":\"G. Iuculano, M. Cox, G. Pellegrinil, A. Zanobini\",\"doi\":\"10.1109/IMTC.2004.1351289\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper discusses the possibility of using Bayesian inference methods and entropy optimization principles for the evaluation of uncertainty in a measurement process. In particular, the proposed approach is applied to the recalibration of a measurement device which incorporates a calibrated reference quantity. An a priori estimate and an uncertainty for the reference quantity are supposed to be available from a previous calibration. The adopted method is shown to produce a posteriori estimates for the reference quantity, regarded as the recalibrated value and for the measurand which are correlated.\",\"PeriodicalId\":386903,\"journal\":{\"name\":\"Proceedings of the 21st IEEE Instrumentation and Measurement Technology Conference (IEEE Cat. No.04CH37510)\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-05-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 21st IEEE Instrumentation and Measurement Technology Conference (IEEE Cat. No.04CH37510)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IMTC.2004.1351289\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 21st IEEE Instrumentation and Measurement Technology Conference (IEEE Cat. No.04CH37510)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IMTC.2004.1351289","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Evaluation of measurement uncertainty by Bayesian-entropic approach
This paper discusses the possibility of using Bayesian inference methods and entropy optimization principles for the evaluation of uncertainty in a measurement process. In particular, the proposed approach is applied to the recalibration of a measurement device which incorporates a calibrated reference quantity. An a priori estimate and an uncertainty for the reference quantity are supposed to be available from a previous calibration. The adopted method is shown to produce a posteriori estimates for the reference quantity, regarded as the recalibrated value and for the measurand which are correlated.