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Classical and a robust method in dealing with outlier in factorial designs : an empirical example.


Citation

Fitrianto, Anwar and Midi, Habshah (2012) Classical and a robust method in dealing with outlier in factorial designs : an empirical example. In: 2nd Basic Science International Conference, 24-25 Feb. 2012, Indonesia. .

Abstract

Valid analysis of an experimental design data requires several assumptions, such as normality, constant variances and independency. In practice, those assumptions can be violated due to causes, such as the presence of an outlying observation. A more appropriate and modern approach is needed, that is to use a robust procedure that provides estimation, inference and testing that are not influenced by outlying observations but describes correctly the structure for the bulk of the data. A well-known approach to handle dataset with outliers is the M-estimation. In this paper, both classical and robust procedures are employed to data of a factorial experiment. And we point out that relying on classical method instead of robust methods lead to misleading conclusion of the analysis.


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Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Science
Institute for Mathematical Research
Notes: Full text are available at Special Collection Division Office
Keywords: M-estimation; Factorial design; Outlier; Robust.
Depositing User: Erni Suraya Abdul Aziz
Date Deposited: 31 Mar 2014 01:59
Last Modified: 13 Jun 2014 08:09
URI: http://psasir.upm.edu.my/id/eprint/27587
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