Variance Estimation for Imputed Survey Data using Balanced Repeated Replication Method
نویسندگان
چکیده
منابع مشابه
Variance Estimation from Complex Surveys Using Balanced Repeated Replication
For estimating the variance of nonlinear statistics like regression and correlation coefficients in stratified sampling designs, the Balanced Repeated Replication (BRR) method has received special attention, although other procedures like linearization (Taylor’s series expansion method), Jackknife repeated replications and the Bootstrap method are also available in the literature. BRR method in...
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Balanced repeated replication (BRR) is a popular method for variance estimation in surveys. The standard BRR method works by rst creating a set of \balanced" pseudo-replicated data sets from the original data set. For a survey estimator ^ , the BRR variance estimator is the average of squared deviations ^ (r) ? ^ , where ^ (r) is the same as ^ but based on the data in the rth pseudo-replicated ...
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One way of handling survey nonresponse is to impute data for each nonrespondent. When estimating sampling variances, however, treating the imputed data as a complete set frequently leads to underestimates of the true sampling variance. Techniques have been recently developed to yield valid variance estimates in the presence of imputed data for some estimators and sample designs. Economic survey...
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ژورنال
عنوان ژورنال: Communications for Statistical Applications and Methods
سال: 2005
ISSN: 2287-7843
DOI: 10.5351/ckss.2005.12.2.365