کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4635228 | 1340708 | 2007 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
An alternative computational algorithm for calculating the nonlinearity of regression models with two parameters
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
ریاضیات
ریاضیات کاربردی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
This paper presents an alternative computational algorithm for finding the root mean square (RMS) curvature as a nonlinearity measure of nonlinear regression model (NLR model) with two parameters. Specially, the suggested algorithm is applied on a NLR model in which there is a conditionally linear parameter. The algorithm is mainly based on the work presented in [ D.M. Bates, D.G. Watts, Relative curvature measures of nonlinearity (with discussion), Journal of the Royal Statistical Society 42 (1) (1980) 1- 25]. The algorithm is suited for implementation using computer algebra systems (CAS) such as MAPLE, MATLAB, MACSYMA and MATHEMATICA. The researchers compare the results with the corresponding output of the S-PLUS Program for the same considering example and the results in some earlier works.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Mathematics and Computation - Volume 188, Issue 1, 1 May 2007, Pages 686-692
Journal: Applied Mathematics and Computation - Volume 188, Issue 1, 1 May 2007, Pages 686-692
نویسندگان
S.A. El-Shehawy, A.A. Karawia,