{"title":"离散度I的两样本非参数检验的进一步比较","authors":"T. Yanagawa","doi":"10.5109/13041","DOIUrl":null,"url":null,"abstract":"various attempts have been made to construct nonparametric tests by authors such as Mood [9], Sukhatme [11], Freund and Ansari [7], Barton and David [4], Tamura [12], Siegel and Tukey [10], Capon [5], Klotz [8] and others. But as Klotz [8] has pointed out, there is (at least asymptotically) an equivalence in the sense of test statistics among the test of Freund-Ansari, Barton-David and Siegel-Turkey, and hence we shall restrict our consideration to the tests of Sukhatme, Tamura, Mood and Freund-Ansari, whose test statistics are given as follows. Let denote min (x, y) and max (x, y) by x Ay and x V y, respedtively. Sukhatme's T: 1 ni T1\" = E E 46(xi, YJ)","PeriodicalId":287765,"journal":{"name":"Bulletin of Mathematical Statistics","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1970-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A FURTHER COMPARISON OF TWO-SAMPLE NONPARAMETRIC TESTS FOR DISPERISON I\",\"authors\":\"T. Yanagawa\",\"doi\":\"10.5109/13041\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"various attempts have been made to construct nonparametric tests by authors such as Mood [9], Sukhatme [11], Freund and Ansari [7], Barton and David [4], Tamura [12], Siegel and Tukey [10], Capon [5], Klotz [8] and others. But as Klotz [8] has pointed out, there is (at least asymptotically) an equivalence in the sense of test statistics among the test of Freund-Ansari, Barton-David and Siegel-Turkey, and hence we shall restrict our consideration to the tests of Sukhatme, Tamura, Mood and Freund-Ansari, whose test statistics are given as follows. Let denote min (x, y) and max (x, y) by x Ay and x V y, respedtively. Sukhatme's T: 1 ni T1\\\" = E E 46(xi, YJ)\",\"PeriodicalId\":287765,\"journal\":{\"name\":\"Bulletin of Mathematical Statistics\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1970-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Bulletin of Mathematical Statistics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5109/13041\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bulletin of Mathematical Statistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5109/13041","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
摘要
Mood[9]、Sukhatme[11]、Freund and Ansari[7]、Barton and David[4]、Tamura[12]、Siegel and Tukey[10]、Capon[5]、Klotz[8]等人尝试构建非参数检验。但正如Klotz[8]所指出的那样,Freund-Ansari、Barton-David和Siegel-Turkey的检验在检验统计量意义上存在(至少是渐近的)等价,因此我们将把我们的考虑限制在Sukhatme、Tamura、Mood和Freund-Ansari的检验上,他们的检验统计量给出如下。令最小(x, y)和最大(x, y)分别用x Ay和x vy表示。Sukhatme's T: 1 ni T1 ' = E E 46(xi, YJ)
A FURTHER COMPARISON OF TWO-SAMPLE NONPARAMETRIC TESTS FOR DISPERISON I
various attempts have been made to construct nonparametric tests by authors such as Mood [9], Sukhatme [11], Freund and Ansari [7], Barton and David [4], Tamura [12], Siegel and Tukey [10], Capon [5], Klotz [8] and others. But as Klotz [8] has pointed out, there is (at least asymptotically) an equivalence in the sense of test statistics among the test of Freund-Ansari, Barton-David and Siegel-Turkey, and hence we shall restrict our consideration to the tests of Sukhatme, Tamura, Mood and Freund-Ansari, whose test statistics are given as follows. Let denote min (x, y) and max (x, y) by x Ay and x V y, respedtively. Sukhatme's T: 1 ni T1" = E E 46(xi, YJ)