{"title":"两个协方差矩阵相等性的最大协方差差检验","authors":"A. Takemura, S. Kuriki","doi":"10.1090/conm/287/04792","DOIUrl":null,"url":null,"abstract":"We propose a test of equality of two covariance matrices based on the maximum standardized di erence of scalar covariances of two sample covariance matrices.We derive the tail probability of the asymptotic null distribution of the test statistic by the tube method.However the usual formal tube formula has to be suitably modi ed,because in this case the index set, around which the tube s formed,has zero critical radius.","PeriodicalId":345004,"journal":{"name":"CIRJE F-Series","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Maximum Covariance Di erence Test for Equality of Two Covariance Matrices\",\"authors\":\"A. Takemura, S. Kuriki\",\"doi\":\"10.1090/conm/287/04792\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose a test of equality of two covariance matrices based on the maximum standardized di erence of scalar covariances of two sample covariance matrices.We derive the tail probability of the asymptotic null distribution of the test statistic by the tube method.However the usual formal tube formula has to be suitably modi ed,because in this case the index set, around which the tube s formed,has zero critical radius.\",\"PeriodicalId\":345004,\"journal\":{\"name\":\"CIRJE F-Series\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"CIRJE F-Series\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1090/conm/287/04792\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"CIRJE F-Series","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1090/conm/287/04792","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Maximum Covariance Di erence Test for Equality of Two Covariance Matrices
We propose a test of equality of two covariance matrices based on the maximum standardized di erence of scalar covariances of two sample covariance matrices.We derive the tail probability of the asymptotic null distribution of the test statistic by the tube method.However the usual formal tube formula has to be suitably modi ed,because in this case the index set, around which the tube s formed,has zero critical radius.