جلد 20، شماره 1 - ( 3-1400 )                   جلد 20 شماره 1 صفحات 26-1 | برگشت به فهرست نسخه ها


XML English Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Ahmed S E, Aydın D, Yılmaz E. Kernel Ridge Estimator for the Partially Linear Model under Right-Censored Data. JIRSS. 2021; 20 (1) :1-26
URL: http://jirss.irstat.ir/article-1-774-fa.html
Kernel Ridge Estimator for the Partially Linear Model under Right-Censored Data. پژوهشنامه انجمن آمار ایران. 1400; 20 (1) :26-1

URL: http://jirss.irstat.ir/article-1-774-fa.html


چکیده:   (721 مشاهده)

Objective: This paper aims to introduce a modified kernel-type ridge estimator for partially linear models under randomly-right censored data. Such models include two main issues that need to be solved: multi-collinearity and censorship. To address these issues, we improved the kernel estimator based on synthetic data transformation and kNN imputation techniques. The key idea of this paper is to obtain a satisfactory estimate of the partially linear model with multi-collinear and right-censored using a modified ridge estimator. Results: To determine the performance of the method, a detailed simulation study is carried out and a kernel-type ridge estimator for PLM is investigated for two censorship solution techniques. The results are compared and presented with tables and figures. Necessary derivations for the modified semiparametric estimator are given in appendices.

متن کامل [PDF 567 kb]   (377 دریافت)    
نوع مطالعه: Special Issue, Original Paper | موضوع مقاله: 62Jxx: Linear inference, regression
دریافت: 1399/9/18 | پذیرش: 1399/11/10 | انتشار: 1400/3/30

بازنشر اطلاعات
Creative Commons License این مقاله تحت شرایط Creative Commons Attribution-NonCommercial 4.0 International License قابل بازنشر است.

کلیه حقوق این وب سایت متعلق به پژوهشنامه انجمن آمار ایران می باشد.

طراحی و برنامه نویسی : یکتاوب افزار شرق

© 2021 CC BY-NC 4.0 | Journal of The Iranian Statistical Society

Designed & Developed by : Yektaweb