کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10525476 | 958001 | 2005 | 13 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Significance tests for multi-component estimands from multiply imputed, synthetic microdata
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
ریاضیات
ریاضیات کاربردی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
To limit the risks of disclosures when releasing data to the public, it has been suggested that statistical agencies release multiply imputed, synthetic microdata. For example, the released microdata can be fully synthetic, comprising random samples of units from the sampling frame with simulated values of variables. Or, the released microdata can be partially synthetic, comprising the units originally surveyed with some collected values, e.g. sensitive values at high risk of disclosure or values of key identifiers, replaced with multiple imputations. This article presents inferential methods for synthetic data for multi-component estimands, in particular procedures for Wald and likelihood ratio tests. The performance of the procedures is illustrated with simulation studies.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Statistical Planning and Inference - Volume 131, Issue 2, 1 May 2005, Pages 365-377
Journal: Journal of Statistical Planning and Inference - Volume 131, Issue 2, 1 May 2005, Pages 365-377
نویسندگان
J.P. Reiter,