دورية أكاديمية
A Detection Measure of Outliers Based on Forward Search Approach for Cox-Regression Model
العنوان: | A Detection Measure of Outliers Based on Forward Search Approach for Cox-Regression Model |
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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 |
DOI: | 10.29313/jstat.v8i2.984 |
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