کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1148664 | 957846 | 2007 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Model discrimination—another perspective on model-robust designs
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
ریاضیات
ریاضیات کاربردی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
Recent progress in model-robust designs has focused on maximizing estimation capacities. However, for a given design, two competing models may be both estimable and yet difficult or impossible to discriminate in the model selection procedure. In this paper, we propose several criteria for gauging the capability of a design for model discrimination. The criteria are then used to evaluate a class of 18-run orthogonal designs in terms of their model-discriminating capabilities. We demonstrate that designs having the same estimation capacity may differ considerably with respect to model-discrimination capabilities. The best designs according to the proposed model-discrimination criteria are obtained and tabulated for practical use.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Statistical Planning and Inference - Volume 137, Issue 5, 1 May 2007, Pages 1576–1583
Journal: Journal of Statistical Planning and Inference - Volume 137, Issue 5, 1 May 2007, Pages 1576–1583
نویسندگان
Bradley A. Jones, William Li, Christopher J. Nachtsheim, Kenny Q. Ye,