{"title":"评估员可信度测试-第二部分:其他测试*","authors":"X. R. Li, Zhanlue Zhao","doi":"10.1109/ICIF.2006.301740","DOIUrl":null,"url":null,"abstract":"For pt.I see ibid., p.Z001330-7 (2006). Many estimators and filters provide assessments of their own estimation error. Are these self-assessments trustable? What is the degree to which they are trustable? This is Part II of a two-part series that provides answers to some of these questions, referred to as the credibility of the estimators. It proposes several tests for credibility and a test-based solution to the problem of comparing estimators' credibility. Numerical examples are provided to illustrate the utility and effectiveness of the proposed tests","PeriodicalId":248061,"journal":{"name":"2006 9th International Conference on Information Fusion","volume":"246 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Testing Estimator's Credibility - Part II: Other Tests*\",\"authors\":\"X. R. Li, Zhanlue Zhao\",\"doi\":\"10.1109/ICIF.2006.301740\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For pt.I see ibid., p.Z001330-7 (2006). Many estimators and filters provide assessments of their own estimation error. Are these self-assessments trustable? What is the degree to which they are trustable? This is Part II of a two-part series that provides answers to some of these questions, referred to as the credibility of the estimators. It proposes several tests for credibility and a test-based solution to the problem of comparing estimators' credibility. Numerical examples are provided to illustrate the utility and effectiveness of the proposed tests\",\"PeriodicalId\":248061,\"journal\":{\"name\":\"2006 9th International Conference on Information Fusion\",\"volume\":\"246 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-07-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 9th International Conference on Information Fusion\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIF.2006.301740\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 9th International Conference on Information Fusion","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIF.2006.301740","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Testing Estimator's Credibility - Part II: Other Tests*
For pt.I see ibid., p.Z001330-7 (2006). Many estimators and filters provide assessments of their own estimation error. Are these self-assessments trustable? What is the degree to which they are trustable? This is Part II of a two-part series that provides answers to some of these questions, referred to as the credibility of the estimators. It proposes several tests for credibility and a test-based solution to the problem of comparing estimators' credibility. Numerical examples are provided to illustrate the utility and effectiveness of the proposed tests
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