{"title":"估算复杂随机应答调查与简单替代调查的效率收益","authors":"Arijit Chaudhuri, Dipika Patra","doi":"10.3329/ijss.v24i1.72021","DOIUrl":null,"url":null,"abstract":"Hartley and Ross’s (1954) ratio-type unbiased estimator for a finite population total based on a Simple Random Sample taken Without Replacement (SRSWOR) is examined for its performance versus the expansion estimator from the sample data at hand by Chaudhuri and Samaddar (2022). They also examined how Des Raj (1956) estimator based on PPSWOR performs against SRSWOR combined with expansion estimator using PPSWOR sample values. Here we study the expansion of them to Randomized Response survey data.\nInternational Journal of Statistical Sciences, Vol.24(1), March, 2024, pp 75-84","PeriodicalId":512956,"journal":{"name":"International Journal of Statistical Sciences","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Estimating Gain in Efficiency in Complicated Randomized Response Surveys versus Simpler Alternatives\",\"authors\":\"Arijit Chaudhuri, Dipika Patra\",\"doi\":\"10.3329/ijss.v24i1.72021\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Hartley and Ross’s (1954) ratio-type unbiased estimator for a finite population total based on a Simple Random Sample taken Without Replacement (SRSWOR) is examined for its performance versus the expansion estimator from the sample data at hand by Chaudhuri and Samaddar (2022). They also examined how Des Raj (1956) estimator based on PPSWOR performs against SRSWOR combined with expansion estimator using PPSWOR sample values. Here we study the expansion of them to Randomized Response survey data.\\nInternational Journal of Statistical Sciences, Vol.24(1), March, 2024, pp 75-84\",\"PeriodicalId\":512956,\"journal\":{\"name\":\"International Journal of Statistical Sciences\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-03-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Statistical Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3329/ijss.v24i1.72021\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Statistical Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3329/ijss.v24i1.72021","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Estimating Gain in Efficiency in Complicated Randomized Response Surveys versus Simpler Alternatives
Hartley and Ross’s (1954) ratio-type unbiased estimator for a finite population total based on a Simple Random Sample taken Without Replacement (SRSWOR) is examined for its performance versus the expansion estimator from the sample data at hand by Chaudhuri and Samaddar (2022). They also examined how Des Raj (1956) estimator based on PPSWOR performs against SRSWOR combined with expansion estimator using PPSWOR sample values. Here we study the expansion of them to Randomized Response survey data.
International Journal of Statistical Sciences, Vol.24(1), March, 2024, pp 75-84
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