کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
416957 681424 2011 19 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Robust likelihood inference for regression parameters in partially linear models
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نظریه محاسباتی و ریاضیات
پیش نمایش صفحه اول مقاله
Robust likelihood inference for regression parameters in partially linear models
چکیده انگلیسی

A robust likelihood approach is proposed for inference about regression parameters in partially-linear models. More specifically, normality is adopted as the working model and is properly corrected to accomplish the objective. Knowledge about the true underlying random mechanism is not required for the proposed method. Simulations and illustrative examples demonstrate the usefulness of the proposed robust likelihood method, even in irregular situations caused by the components of the nonparametric smooth function in partially-linear models.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computational Statistics & Data Analysis - Volume 55, Issue 4, 1 April 2011, Pages 1696–1714
نویسندگان
, , ,