کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
7546173 1489622 2018 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Analysis of inaccurate data with mixture measurement error models
ترجمه فارسی عنوان
تجزیه و تحلیل داده های نادرست با مدل خطای اندازه گیری مخلوط
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات آمار و احتمال
چکیده انگلیسی
Measurement error, the difference between a measured (observed) value of quantity and its true value, is perceived as a possible source of estimation bias in many surveys. To correct for such bias, a validation sample can be used in addition to the original sample for adjustment of measurement error. Depending on the type of validation sample, we can either use the internal calibration approach or the external calibration approach. Motivated by Korean Longitudinal Study of Aging (KLoSA), we propose a novel application of fractional imputation to correct for measurement error in the analysis of survey data. The proposed method is to create imputed values of the unobserved true variables, which are mis-measured in the main study, by using validation subsample. Furthermore, the proposed method can be directly applicable when the measurement error model is a mixture distribution. Variance estimation using Taylor linearization is developed. Results from a limited simulation study are also presented.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of the Korean Statistical Society - Volume 47, Issue 1, March 2018, Pages 1-12
نویسندگان
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