کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1148920 | 957856 | 2006 | 15 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Some empirical Bayes rules for selecting the best population with multiple criteria
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
ریاضیات
ریاضیات کاربردی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
Consider k (k⩾2) normal populations whose mean θi and variance Ïi2 are all unknown. Let ηi be some function of θi and Ïi2 and ηi is the parameter of main interest. For given control values η0 and Ï02, we want to select some population whose associated value of ηi the largest and also it is larger than η0 and whose associated variance is less than or equal to Ï02. An empirical Bayes selection rule is proposed which has been shown to be asymptotically optimal with convergence rate of order O((lnN)2/N), where N is the minimum number of past observations at hand in each population. A simulation study is also carried out for the performance of the proposed empirical Bayes selection rule, and it is found satisfactory.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Statistical Planning and Inference - Volume 136, Issue 7, 1 July 2006, Pages 2129-2143
Journal: Journal of Statistical Planning and Inference - Volume 136, Issue 7, 1 July 2006, Pages 2129-2143
نویسندگان
Wen-Tao Huang, Yi-Ping Chang,