دورية أكاديمية

A Detection Measure of Outliers Based on Forward Search Approach for Cox-Regression Model

التفاصيل البيبلوغرافية
العنوان: A Detection Measure of Outliers Based on Forward Search Approach for Cox-Regression Model
المؤلفون: Md Noh, Nor Akmal, Mohamed, Ibrahim, Mohd Taib, Nur Aishah
المصدر: STATISTIKA; Vol 8, No 2 (2008) ; STATISTIKA: Forum Teori dan Aplikasi Statistika; Vol 8, No 2 (2008) ; 2599-2538 ; 1411-5891
بيانات النشر: Program Studi Statistika Unisba
سنة النشر: 2014
المجموعة: Jurnal Ilmiah Nasional dan Internasional Unisba (P2U - Pusat Penerbitan Universitas, LPPM Unisba)
الوصف: This paper focuses on identifying possible outliers based on Cox regression model. Forward searchmethod has been applied in several studies involving regression-based models such as linearregression and generalized linear model. The method starts with a pre-selected subset of a data set.The method moves forward through the data by adding observations one by one and progressivechanges in values of statistics are noted. In this paper, we extend the application of forward search insurvival data analysis. Currently, graphical methods are used to detect any significant changes invalues of the statistics. We propose a measure which may aid us in determining observations that areoutlier.
نوع الوثيقة: article in journal/newspaper
وصف الملف: application/pdf
اللغة: Indonesian
العلاقة: https://ejournal.unisba.ac.id/index.php/statistika/article/view/984/579Test; https://ejournal.unisba.ac.id/index.php/statistika/article/view/984Test
DOI: 10.29313/jstat.v8i2.984
الإتاحة: https://doi.org/10.29313/jstat.v8i2.984Test
https://ejournal.unisba.ac.id/index.php/statistika/article/view/984Test
رقم الانضمام: edsbas.D2D39AB4
قاعدة البيانات: BASE