{"title":"一类渐进式混合滤波的指数分布贝叶斯抽样方案设计","authors":"T. Liang","doi":"10.6186/IJIMS.2014.25.4.1","DOIUrl":null,"url":null,"abstract":"This article studies the problem of designing Bayesian sampling plans with type-II progressive hybrid censored samples. Algorithms A and B for deriving Bayesian sampling plans are proposed. Comparison between the performances of the proposed sampling plans with the sampling plans of Lin and Huang is made. The numerical results indicate that the proposed sampling plans perform much better than the sampling plans of Lin and Huang in terms of their associated Bayes risks.","PeriodicalId":39953,"journal":{"name":"International Journal of Information and Management Sciences","volume":"10 1","pages":"281-296"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Designing Bayesian Sampling Plans for Exponential Distributions with Type-II Progressive Hybrid Censoring\",\"authors\":\"T. Liang\",\"doi\":\"10.6186/IJIMS.2014.25.4.1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article studies the problem of designing Bayesian sampling plans with type-II progressive hybrid censored samples. Algorithms A and B for deriving Bayesian sampling plans are proposed. Comparison between the performances of the proposed sampling plans with the sampling plans of Lin and Huang is made. The numerical results indicate that the proposed sampling plans perform much better than the sampling plans of Lin and Huang in terms of their associated Bayes risks.\",\"PeriodicalId\":39953,\"journal\":{\"name\":\"International Journal of Information and Management Sciences\",\"volume\":\"10 1\",\"pages\":\"281-296\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Information and Management Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.6186/IJIMS.2014.25.4.1\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Information and Management Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.6186/IJIMS.2014.25.4.1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Engineering","Score":null,"Total":0}
Designing Bayesian Sampling Plans for Exponential Distributions with Type-II Progressive Hybrid Censoring
This article studies the problem of designing Bayesian sampling plans with type-II progressive hybrid censored samples. Algorithms A and B for deriving Bayesian sampling plans are proposed. Comparison between the performances of the proposed sampling plans with the sampling plans of Lin and Huang is made. The numerical results indicate that the proposed sampling plans perform much better than the sampling plans of Lin and Huang in terms of their associated Bayes risks.
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