{"title":"Welford’s algorithm for weighted statistics","authors":"Andrey A. Efanov, S. Ivliev, Alexey G. Shagraev","doi":"10.1109/REEPE51337.2021.9387973","DOIUrl":null,"url":null,"abstract":"The Wellford method is a simple and effective way to calculate averages, variances, covariances, and other statistics. This method has several excellent properties: achieves high performance on the accuracy of decisions; it is straightforward to understand and implement; it is a one-pass online algorithm, which is extremely useful in some situations. Wellford’s original article published in 1962. Nevertheless, it cannot the algorithm is not widely known at present. Moreover, it is a non-trivial task to find a mathematical proof of its correctness or experimental comparisons with other methods. This article attempts to fill these gaps.","PeriodicalId":272476,"journal":{"name":"2021 3rd International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 3rd International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/REEPE51337.2021.9387973","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The Wellford method is a simple and effective way to calculate averages, variances, covariances, and other statistics. This method has several excellent properties: achieves high performance on the accuracy of decisions; it is straightforward to understand and implement; it is a one-pass online algorithm, which is extremely useful in some situations. Wellford’s original article published in 1962. Nevertheless, it cannot the algorithm is not widely known at present. Moreover, it is a non-trivial task to find a mathematical proof of its correctness or experimental comparisons with other methods. This article attempts to fill these gaps.