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Nor Akmal Md Noh
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering Mathematics

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A Detection Measure of Outliers Based on Forward Search Approach for Cox-Regression Model Nor Akmal Md Noh; Ibrahim Mohamed; Nur Aishah Mohd Taib
STATISTIKA: Forum Teori dan Aplikasi Statistika Vol 8, No 2 (2008)
Publisher : Program Studi Statistika Unisba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jstat.v8i2.984

Abstract

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.
Co-Authors ibrahim Mohamed Nur Aishah Mohd Taib