کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1153339 | 958327 | 2009 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Empirical likelihood for nonparametric parts in semiparametric varying-coefficient partially linear models
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
ریاضیات
آمار و احتمال
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Empirical likelihood for nonparametric parts in semiparametric varying-coefficient partially linear models Empirical likelihood for nonparametric parts in semiparametric varying-coefficient partially linear models](/preview/png/1153339.png)
چکیده انگلیسی
Empirical-likelihood-based inference for the nonparametric parts in semiparametric varying-coefficient partially linear (SVCPL) models is investigated. An empirical log-likelihood approach to construct the confidence regions/intervals of the nonparametric parts is developed. An estimated empirical likelihood ratio is proved to be asymptotically standard χ2χ2-limit. A simulation study indicates that, compared with a normal approximation-based approach and the bootstrap method, the proposed method described herein works better in terms of coverage probabilities and average areas/widths of confidence regions/bands. An application to a real data set is illustrated.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Statistics & Probability Letters - Volume 79, Issue 16, 15 August 2009, Pages 1798–1808
Journal: Statistics & Probability Letters - Volume 79, Issue 16, 15 August 2009, Pages 1798–1808
نویسندگان
Zhensheng Huang, Riquan Zhang,