کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
417177 681464 2008 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Evaluation of matching noise for imputation techniques based on nonparametric local linear regression estimators
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نظریه محاسباتی و ریاضیات
پیش نمایش صفحه اول مقاله
Evaluation of matching noise for imputation techniques based on nonparametric local linear regression estimators
چکیده انگلیسی

A new matching procedure based on imputing missing data by means of a local linear estimator of the underlying population regression function (that is assumed not necessarily linear) is introduced. Such a procedure is compared to other traditional approaches, more precisely hot deck methods as well as methods based on kNN estimators. The relationship between the variables of interest is assumed not necessarily linear. Performance is measured by the matching noise given by the discrepancy between the distribution generating genuine data and the distribution generating imputed values.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computational Statistics & Data Analysis - Volume 53, Issue 2, 15 December 2008, Pages 354–365
نویسندگان
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