Estimation in the Presence of Measurement Error
نویسندگان
چکیده
منابع مشابه
Density estimation in the presence of heteroskedastic measurement error
We consider density estimation when the variable of interest is subject to heteroskedastic measurement error. The density is assumed to have a smooth but unknown functional form which we model with a penalized mixture of B-splines. We treat the situation where multiple mismeasured observations of each of the variables of interest are observed for at least some of the subjects, and the measureme...
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Introduction According to the classic sampling theory, errors that are mainly considered in the estimations are sampling errors. However, most non-sampling errors are more effective than sampling errors in properties of estimators. This has been confirmed by researchers over the past two decades, especially in relation to non-response errors that are one of the most fundamental non-immolation...
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ژورنال
عنوان ژورنال: International Statistical Review / Revue Internationale de Statistique
سال: 1995
ISSN: 0306-7734
DOI: 10.2307/1403606