{"title":"Regression analysis of ESR/TL dose-response data","authors":"Steven Brumby","doi":"10.1016/1359-0189(92)90010-S","DOIUrl":null,"url":null,"abstract":"<div><p>Methods are described for the analysis of ESR (electron spin resonance) or TL (thermoluminescence) dose-responce data. When fitting data to a straight line, an expression is derived which allows the error in the accumulated dose, <em>AD</em>, to be estimated. For fitting data to a saturating exponential, the simplex algorithm with quadratic convergence is proposed. This allows the errors in the parameters, including the <em>AD</em>, to be estimated. An alternative method for estimating the parameter errors, using analytical expressions for the required partial derivatives, is also described. These techniques are more satisfactory than jackknifing for estimating uncertainties in <em>AD</em>s.</p></div>","PeriodicalId":81549,"journal":{"name":"International Journal Of Radiation Applications And Instrumentation. Part D, Nuclear Tracks And Radiation Measurements","volume":"20 4","pages":"Pages 595-599"},"PeriodicalIF":0.0000,"publicationDate":"1992-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/1359-0189(92)90010-S","citationCount":"60","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal Of Radiation Applications And Instrumentation. Part D, Nuclear Tracks And Radiation Measurements","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/135901899290010S","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 60
Abstract
Methods are described for the analysis of ESR (electron spin resonance) or TL (thermoluminescence) dose-responce data. When fitting data to a straight line, an expression is derived which allows the error in the accumulated dose, AD, to be estimated. For fitting data to a saturating exponential, the simplex algorithm with quadratic convergence is proposed. This allows the errors in the parameters, including the AD, to be estimated. An alternative method for estimating the parameter errors, using analytical expressions for the required partial derivatives, is also described. These techniques are more satisfactory than jackknifing for estimating uncertainties in ADs.