کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
9741755 | 1489780 | 2005 | 21 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Corrected confidence intervals for adaptive nonlinear regression models
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
ریاضیات
ریاضیات کاربردی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Corrected confidence intervals for adaptive nonlinear regression models Corrected confidence intervals for adaptive nonlinear regression models](/preview/png/9741755.png)
چکیده انگلیسی
A nonlinear regression model is considered in which the design variable may be a function of the previous responses. The aim is to construct confidence intervals for the parameter which are asymptotically valid to a high order. This is accomplished by using a tilting argument to construct a first approximation to a pivotal quantity, and then by using a version of Stein's identity and very weak expansions to determine the correction terms. The accuracy of the approximations is assessed by simulation for two well-known nonlinear regression models-the first-order growth or decay model and the Michaelis-Menten model, when one of the two parameters is known. Detailed proofs of the expansions are given.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Statistical Planning and Inference - Volume 130, Issues 1â2, 1 March 2005, Pages 63-83
Journal: Journal of Statistical Planning and Inference - Volume 130, Issues 1â2, 1 March 2005, Pages 63-83
نویسندگان
D.S. Coad, M.B. Woodroofe,