کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1151993 | 958266 | 2009 | 19 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Modifying the double smoothing bandwidth selector in nonparametric regression
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
ریاضیات
آمار و احتمال
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Modifying the double smoothing bandwidth selector in nonparametric regression Modifying the double smoothing bandwidth selector in nonparametric regression](/preview/png/1151993.png)
چکیده انگلیسی
In this paper a modified double smoothing bandwidth selector, hˆMDS, based on a new criterion defined as the sum of the asymptotic variance and the squared double smoothing bias, is proposed. A self-contained iterative double smoothing rule (hˆIDS) is introduced as a pilot method. The asymptotic properties of hˆIDS and hˆMDS are investigated. It is shown that asymptotically hˆMDS performs very well. The asymptotic performance of hˆMDS is also compared with plug-in bandwidth selectors. A comparative simulation study is carried out to show the practical performance of hˆMDS and related methods, including ordinary double smoothing and two plug-in bandwidth selectors. The results indicate that hˆMDS tends to be the best in practice.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Statistical Methodology - Volume 6, Issue 5, September 2009, Pages 447–465
Journal: Statistical Methodology - Volume 6, Issue 5, September 2009, Pages 447–465
نویسندگان
Jan Beran, Yuanhua Feng, Siegfried Heiler,