کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1150317 | 957922 | 2006 | 18 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Sampling plans based on balanced incomplete block designs for evaluating the importance of computer model inputs
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
ریاضیات
ریاضیات کاربردی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
The importance of individual inputs of a computer model is sometimes assessed using indices that reflect the amount of output variation that can be attributed to random variation in each input. We review two such indices, and consider input sampling plans that support estimation of one of them, the variance of conditional expectation or VCE (Mckay, 1995. Los Alamos National Laboratory Report NUREG/CR-6311, LA-12915-MS). Sampling plans suggested by Sobol’, Saltelli, and McKay, are examined and compared to a new sampling plan based on balanced incomplete block designs. The new design offers better sampling efficiency for the VCE than those of Sobol’ and Saltelli, and supports unbiased estimation of the index associated with each input.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Statistical Planning and Inference - Volume 136, Issue 9, 1 September 2006, Pages 3203–3220
Journal: Journal of Statistical Planning and Inference - Volume 136, Issue 9, 1 September 2006, Pages 3203–3220
نویسندگان
Max D. Morris, Leslie M. Moore, Michael D. McKay,