{"title":"相关量间接多参数测量中的不确定性估计","authors":"Z. Warsza, J. Puchalski","doi":"10.23919/MEASUREMENT47340.2019.8780042","DOIUrl":null,"url":null,"abstract":"The paper presents an upgraded version of the vector method of evaluation of multiparameter measurement uncertainties stated in the Supplement 2 to GUM guide. This was done on the example of two-parameter jointed measurements. It consists of the correlation of individual components of the type A and/or type B uncertainty of input measurands. The general formulas for the covariance matrix, final uncertainties, and correlation coefficient were determined. The 3D graph shows the correlation coefficients of the output quantities as a function of the type B contributions in the uncertainty of two input quantities. It has been demonstrated that the inclusion of correlations of uncertainty components makes the uncertainty evaluations more reliable and accurate.","PeriodicalId":129350,"journal":{"name":"2019 12th International Conference on Measurement","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Estimation of Uncertainties in Indirect Multiparameter Measurements of Correlated Quantities\",\"authors\":\"Z. Warsza, J. Puchalski\",\"doi\":\"10.23919/MEASUREMENT47340.2019.8780042\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper presents an upgraded version of the vector method of evaluation of multiparameter measurement uncertainties stated in the Supplement 2 to GUM guide. This was done on the example of two-parameter jointed measurements. It consists of the correlation of individual components of the type A and/or type B uncertainty of input measurands. The general formulas for the covariance matrix, final uncertainties, and correlation coefficient were determined. The 3D graph shows the correlation coefficients of the output quantities as a function of the type B contributions in the uncertainty of two input quantities. It has been demonstrated that the inclusion of correlations of uncertainty components makes the uncertainty evaluations more reliable and accurate.\",\"PeriodicalId\":129350,\"journal\":{\"name\":\"2019 12th International Conference on Measurement\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 12th International Conference on Measurement\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/MEASUREMENT47340.2019.8780042\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 12th International Conference on Measurement","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/MEASUREMENT47340.2019.8780042","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Estimation of Uncertainties in Indirect Multiparameter Measurements of Correlated Quantities
The paper presents an upgraded version of the vector method of evaluation of multiparameter measurement uncertainties stated in the Supplement 2 to GUM guide. This was done on the example of two-parameter jointed measurements. It consists of the correlation of individual components of the type A and/or type B uncertainty of input measurands. The general formulas for the covariance matrix, final uncertainties, and correlation coefficient were determined. The 3D graph shows the correlation coefficients of the output quantities as a function of the type B contributions in the uncertainty of two input quantities. It has been demonstrated that the inclusion of correlations of uncertainty components makes the uncertainty evaluations more reliable and accurate.