{"title":"估计控制正态分布两端的外β -含量容忍区间的覆盖率的准确性","authors":"Y. Chou, D. Owen","doi":"10.1002/NAV.3800330421","DOIUrl":null,"url":null,"abstract":"Tolerance limits which control both tails of the normal distribution so that there is no more than a proportion β1 in one tail and no more than β2 in the other tail with probability γ may be computed for any size sample. They are computed from X ‐ k1S and X ‐ k2S, where X and S are the usual sample mean and standard deviation and k1 and k2 are constants previously tabulated in Odeh and Owen [3]. The question addressed is, “Just how accurate are the coverages of these intervals (– Infin;, X – k1S) and (X + k2S, ∞) for various size samples?” The question is answered in terms of how widely the coverage of each tail interval differs from the corresponding required content with a given confidence γ′.","PeriodicalId":431817,"journal":{"name":"Naval Research Logistics Quarterly","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1986-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Estimating the accuracy of the coverages of outer β‐content tolerance intervals, which control both tails of the normal distribution\",\"authors\":\"Y. Chou, D. Owen\",\"doi\":\"10.1002/NAV.3800330421\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Tolerance limits which control both tails of the normal distribution so that there is no more than a proportion β1 in one tail and no more than β2 in the other tail with probability γ may be computed for any size sample. They are computed from X ‐ k1S and X ‐ k2S, where X and S are the usual sample mean and standard deviation and k1 and k2 are constants previously tabulated in Odeh and Owen [3]. The question addressed is, “Just how accurate are the coverages of these intervals (– Infin;, X – k1S) and (X + k2S, ∞) for various size samples?” The question is answered in terms of how widely the coverage of each tail interval differs from the corresponding required content with a given confidence γ′.\",\"PeriodicalId\":431817,\"journal\":{\"name\":\"Naval Research Logistics Quarterly\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1986-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Naval Research Logistics Quarterly\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1002/NAV.3800330421\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Naval Research Logistics Quarterly","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/NAV.3800330421","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
摘要
对于任何大小的样本,都可以计算出控制正态分布两端的容差极限,使一条尾巴的比例不超过β1,另一条尾巴的比例不超过β2,其概率为γ。它们由X‐k1S和X‐k2S计算得出,其中X和S是通常的样本平均值和标准差,k1和k2是先前在Odeh和Owen[3]中列出的常数。要解决的问题是,“对于不同大小的样本,这些区间(- Infin;, X - k1S)和(X + k2S,∞)的覆盖率到底有多准确?”这个问题的答案是,在给定置信度γ′下,每个尾区间的覆盖范围与相应所需内容的差异有多大。
Estimating the accuracy of the coverages of outer β‐content tolerance intervals, which control both tails of the normal distribution
Tolerance limits which control both tails of the normal distribution so that there is no more than a proportion β1 in one tail and no more than β2 in the other tail with probability γ may be computed for any size sample. They are computed from X ‐ k1S and X ‐ k2S, where X and S are the usual sample mean and standard deviation and k1 and k2 are constants previously tabulated in Odeh and Owen [3]. The question addressed is, “Just how accurate are the coverages of these intervals (– Infin;, X – k1S) and (X + k2S, ∞) for various size samples?” The question is answered in terms of how widely the coverage of each tail interval differs from the corresponding required content with a given confidence γ′.