{"title":"A Note on the Beta Distribution of Lot Percent Defective","authors":"J. Chimka","doi":"10.1515/eqc-2015-0010","DOIUrl":null,"url":null,"abstract":"Abstract In this note I use MIL-STD-414 for contrast and comparison with an alternate way to estimate the distribution of lot percent defective. A slight deviation from traditional distribution assumption parameters affects results associated with an enduring example of double specification limits.","PeriodicalId":360039,"journal":{"name":"Economic Quality Control","volume":"155 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Economic Quality Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1515/eqc-2015-0010","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Abstract In this note I use MIL-STD-414 for contrast and comparison with an alternate way to estimate the distribution of lot percent defective. A slight deviation from traditional distribution assumption parameters affects results associated with an enduring example of double specification limits.