کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
9741740 | 1489779 | 2005 | 24 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
On the functional approach to optimal designs for nonlinear models
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
ریاضیات
ریاضیات کاربردی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
This paper concerns locally optimal experimental designs for nonlinear regression models. It is based on the functional approach introduced in (Ser. Statist. 9 (1978) 45). In this approach, locally optimal design points and weights are studied as implicitly given functions of the nonlinear parameters included in the model. Representing these functions in a Taylor series enables an analytical solution of the optimal design problem for many nonlinear models. A wide class of such models is introduced here. It includes, in particular, three parameters logistic distribution, hyperexponential and rational models. For these models we construct the analytical solution and use it for studying the efficiency of locally optimal designs. As a criterion of optimality the well-known D-criterion is considered.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Statistical Planning and Inference - Volume 132, Issues 1â2, 1 June 2005, Pages 93-116
Journal: Journal of Statistical Planning and Inference - Volume 132, Issues 1â2, 1 June 2005, Pages 93-116
نویسندگان
Viatcheslav B. Melas,