کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1148793 | 957851 | 2006 | 14 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Assessing post-data weight of evidence
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
ریاضیات
ریاضیات کاربردی
پیش نمایش صفحه اول مقاله

چکیده انگلیسی
Under a robust Bayesian framework, we study p-values as post-data weights of evidence in hypothesis testing problems. For one-sided and two-sided hypothesis testing problems for the normal mean, p-values are considered as maximum likelihood estimates for some functions of the mean. We show that in contrast to Bayes estimates for reasonable families of priors, p-values are extreme for one-sided hypothesis testing problems and are moderate for two-sided problems. Implications on the controversies of ir/reconcilability of p-values in Casella and Berger [1987, J. Am. Statist. Assoc. 82, 106-111], Berger and Sellke [1987, J. Am. Statist. Assoc. 82, 112-122] and Berger and Delampady [1987, Statist. Sci. 2, 317-352] will also be addressed.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Statistical Planning and Inference - Volume 136, Issue 11, 1 November 2006, Pages 4012-4025
Journal: Journal of Statistical Planning and Inference - Volume 136, Issue 11, 1 November 2006, Pages 4012-4025
نویسندگان
C. Andy Tsao,