کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1150487 | 957944 | 2008 | 14 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Selection of the best Bernoulli population provided it is better than a control: An empirical Bayes approach
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
ریاضیات
ریاضیات کاربردی
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چکیده انگلیسی
We investigate an empirical Bayes procedure δn* for selecting the best Bernoulli population from among k competitors provided it is better than a control based on negative binomial sampling. The performance of δn* is evaluated in terms of its associated Bayes risk. Under some conditions, it is shown that δn* is asymptotically optimal, and the associated Bayes risk converges to the minimum Bayes risk at an exponential decay rate exp(-cn) for some positive number c, where n is the number of historical data at hand when the present selection problem is considered. A simulation is also carried out to study the performance of δn* for small to moderate values of n.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Statistical Planning and Inference - Volume 138, Issue 8, 1 August 2008, Pages 2366-2379
Journal: Journal of Statistical Planning and Inference - Volume 138, Issue 8, 1 August 2008, Pages 2366-2379
نویسندگان
Lee-Shen Chen,