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The Statistical Analysis With Missing Data In Randomized Response

Posted on:2008-05-15Degree:MasterType:Thesis
Country:ChinaCandidate:Y H WanFull Text:PDF
GTID:2120360218462736Subject:Computational Mathematics
Abstract/Summary:PDF Full Text Request
This article introduced elementary theory of sample survey, and Randomized response model for qualitative characters and for quantitative characters, and also imputation methods of missing data.Warner(1965)introduced Randomized response model for qualitative characters of sensitive question in survey at first. In this article, we introduced Warner model and put forward Jackknife method used in Warner model.No response can't avoid in Randomized survey, which makes some data miss. In this article, the missing data is imputed by Ratio imputation, then estimate mean of population. In the end verify method of ratio imputation for missing data is available.
Keywords/Search Tags:Randomized Response, Sensitive Question, Ratio Imputation, Bootstrap Estimation
PDF Full Text Request
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