{"title":"排名之间是否存在部分共识排序？","authors":"Srinath Sampath, Joseph S Verducci","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>We propose an innovative approach to the problem recently posed by Hall and Schimek (2012): determining at what point the agreement between two rankings of a long list of items degenerates into noise. We modify the method of estimation in Fligner and Verducci's (1988) multistage model for rankings, from maximum likelihood of conditional agreement over a sample of rankings to a locally smooth estimator of agreement. Through simulations we show that this innovation performs very well under several conditions. Some ramifications are discussed as planned extensions.</p>","PeriodicalId":87345,"journal":{"name":"Proceedings. American Statistical Association. Annual Meeting","volume":"2012 ","pages":"2941-2947"},"PeriodicalIF":0.0000,"publicationDate":"2012-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4562430/pdf/nihms-717112.pdf","citationCount":"0","resultStr":"{\"title\":\"Is There a Partial Consensus Ordering Between Rankings?\",\"authors\":\"Srinath Sampath, Joseph S Verducci\",\"doi\":\"\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>We propose an innovative approach to the problem recently posed by Hall and Schimek (2012): determining at what point the agreement between two rankings of a long list of items degenerates into noise. We modify the method of estimation in Fligner and Verducci's (1988) multistage model for rankings, from maximum likelihood of conditional agreement over a sample of rankings to a locally smooth estimator of agreement. Through simulations we show that this innovation performs very well under several conditions. Some ramifications are discussed as planned extensions.</p>\",\"PeriodicalId\":87345,\"journal\":{\"name\":\"Proceedings. American Statistical Association. Annual Meeting\",\"volume\":\"2012 \",\"pages\":\"2941-2947\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4562430/pdf/nihms-717112.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. American Statistical Association. Annual Meeting\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"\",\"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. American Statistical Association. Annual Meeting","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
我们针对 Hall 和 Schimek（2012 年）最近提出的问题提出了一种创新方法：确定在什么情况下，对一长串项目的两个排名之间的一致性会退化为噪声。我们修改了 Fligner 和 Verducci（1988 年）的多阶段排名模型中的估计方法，从对排名样本的条件一致性最大似然法改为对一致性的局部平稳估计法。通过模拟，我们发现这种创新在一些条件下表现非常出色。我们还讨论了计划扩展的一些影响。
Is There a Partial Consensus Ordering Between Rankings?
We propose an innovative approach to the problem recently posed by Hall and Schimek (2012): determining at what point the agreement between two rankings of a long list of items degenerates into noise. We modify the method of estimation in Fligner and Verducci's (1988) multistage model for rankings, from maximum likelihood of conditional agreement over a sample of rankings to a locally smooth estimator of agreement. Through simulations we show that this innovation performs very well under several conditions. Some ramifications are discussed as planned extensions.
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