کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
416879 | 681413 | 2006 | 14 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Nonparametric estimation of the coefficient of overlapping—theory and empirical application
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نظریه محاسباتی و ریاضیات
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چکیده انگلیسی
The coefficient of overlapping OVLOVL measures the amount of agreement of two probability distributions. Statistical inference for OVLOVL has been mainly investigated in a parametric framework. Five strongly consistent nonparametric estimators for OVLOVL based on kernel density estimation are suggested. A Monte-Carlo simulation investigates bias and standard deviation of the estimators in finite samples. Results of an empirical application to German labor income data of men and women (based on GSOEP data) are presented. It is shown that there is much more agreement of labor income distributions of men and women in East Germany (new Federal States) than in West Germany (old Federal States).
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computational Statistics & Data Analysis - Volume 50, Issue 6, 10 March 2006, Pages 1583–1596
Journal: Computational Statistics & Data Analysis - Volume 50, Issue 6, 10 March 2006, Pages 1583–1596
نویسندگان
Friedrich Schmid, Axel Schmidt,