دورية أكاديمية
The Data-Smoothing Aspect of Stein Estimates
العنوان: | The Data-Smoothing Aspect of Stein Estimates |
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المؤلفون: | Li, Ker-Chau, Hwang, Jiunn Tzon |
بيانات النشر: | The Institute of Mathematical Statistics |
سنة النشر: | 1984 |
المجموعة: | Project Euclid (Cornell University Library) |
مصطلحات موضوعية: | Consistency, kernel estimates, nearest neighbor estimates, nonparametric regression, smoothing splines, Stein effect, 62C20, 62G99, 62F35, 62J99 |
الوصف: | The data smoothing aspect of Stein estimates is explored in the nonparametric regression settings. We show that appropriately shrinking the raw data towards any linear smoother will provide a robust "smoother" (which dominates the raw data and hence has a bounded maximum risk when the average squared error loss is concerned). |
نوع الوثيقة: | text |
وصف الملف: | application/pdf |
اللغة: | English |
ردمك: | 978-1-176-34670-3 1-176-34670-9 |
تدمد: | 0090-5364 |
العلاقة: | http://projecteuclid.org/euclid.aos/1176346709Test; Ann. Statist. 12, no. 3 (1984), 887-897 |
DOI: | 10.1214/aos/1176346709 |
الإتاحة: | https://doi.org/10.1214/aos/1176346709Test http://projecteuclid.org/euclid.aos/1176346709Test |
حقوق: | Copyright 1984 Institute of Mathematical Statistics |
رقم الانضمام: | edsbas.AFBA776F |
قاعدة البيانات: | BASE |
ردمك: | 9781176346703 1176346709 |
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تدمد: | 00905364 |
DOI: | 10.1214/aos/1176346709 |