کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5129252 1378611 2017 21 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Local estimation for longitudinal semiparametric varying-coefficient partially linear model
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات آمار و احتمال
پیش نمایش صفحه اول مقاله
Local estimation for longitudinal semiparametric varying-coefficient partially linear model
چکیده انگلیسی

In this paper, estimation for the semiparametric varying coefficient partially linear model with longitudinal data is investigated. We propose an intuitive procedure to estimate the regression function and the covariance structure simultaneously based on the modified Cholesky decomposition and profile least square technique. The asymptotic normality of the resulting estimators is further derived. Moreover, we develop a variable selection procedure to select significant parameter components for the model within the framework of profile least square estimate. A simulation study is conducted to illustrate the finite-sample performance of the estimation and variable selection procedures. Finally, the proposed method is applied to analyze a set of chronic kidney disease (CKD) progression data in a study of the relationship between glomerular filtration rate (GFR) and the risk factors among CKD patients.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of the Korean Statistical Society - Volume 46, Issue 2, June 2017, Pages 246-266
نویسندگان
, , ,