کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
499572 | 863050 | 2008 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
The use of kernel densities and confidence intervals to cope with insufficient data in validation experiments
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: The use of kernel densities and confidence intervals to cope with insufficient data in validation experiments The use of kernel densities and confidence intervals to cope with insufficient data in validation experiments](/preview/png/499572.png)
چکیده انگلیسی
A novel procedure to establish probability density distributions based on insufficient data is introduced. The approach requires the selection of a confidence level to cover the unknown distribution. The use of kernel densities is proposed for its high fidelity to data and its capability to represent correlations correctly. It is demonstrated that the proposed approach can be applied successfully for validation, leading to measures for the validity in the validation and accreditation experiments and provides consistent predictions based on the required confidence level and the size of available data points of the calibration data.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computer Methods in Applied Mechanics and Engineering - Volume 197, Issues 29–32, 1 May 2008, Pages 2550–2560
Journal: Computer Methods in Applied Mechanics and Engineering - Volume 197, Issues 29–32, 1 May 2008, Pages 2550–2560
نویسندگان
H.J. Pradlwarter, G.I. Schuëller,