{"title":"Evaluation for repeatability and reproducibility of information poor process","authors":"X. Xia, Qing Zhou, Jianmin Zhu","doi":"10.1109/IASP.2010.5476060","DOIUrl":null,"url":null,"abstract":"Poor information means incomplete and insufficient information, such as small sample and unknown distribution. As for the evaluation of repeatability and reproducibility in an information poor process, statistical methods which relied on large sample sizes and known distributions may become ineffective. For this end, a method for analysis of the point variation, the interval variation, and the comprehensive variation is proposed to appraise the repeatability and reproducibility. The method indicates that the smaller the variation between the measured data, the better the repeatability and reproducibility. Case studies show that the proposed method allows the number of the data to be very little and the probability distribution to be unknown.","PeriodicalId":223866,"journal":{"name":"2010 International Conference on Image Analysis and Signal Processing","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Image Analysis and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IASP.2010.5476060","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Poor information means incomplete and insufficient information, such as small sample and unknown distribution. As for the evaluation of repeatability and reproducibility in an information poor process, statistical methods which relied on large sample sizes and known distributions may become ineffective. For this end, a method for analysis of the point variation, the interval variation, and the comprehensive variation is proposed to appraise the repeatability and reproducibility. The method indicates that the smaller the variation between the measured data, the better the repeatability and reproducibility. Case studies show that the proposed method allows the number of the data to be very little and the probability distribution to be unknown.