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Modified parametric bootstrap: A robust alternative to classical test

Md Yusof, Zahayu and Abd Halim, Nurul Hanis and Syed Yahaya, Sharipah Soaad and Abdullah, Suhaida (2013) Modified parametric bootstrap: A robust alternative to classical test. In: World Conference on Integration of Knowledge: Business, Economy, Management, Cultural, Societal, Theological and Scientific (WCIK 2013), 25 & 26 November 2013, Langkawi, Malaysia.

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Classical parametric test such as ANOVA often used in testing the equality of central tendency since this method provide a good control of Type I error and generally more powerful than other statistical methods.However,ANOVA is known to be adversely affected by non-normality, heteroscedasticity, and unbalanced design.Type I error and power rates are substantially affected when these problems occur simultaneously.Continuously using ANOVA under the influence of these problems eventually will result in unreliable findings.Normality and homogeneity are two assumptions that need to be fulfilled when dealing with classical parametric test and not all data encompassed with these assumptions.Thus, this study proposed a robust procedure that insensitive to these assumptions namely Parametric Bootstrap (PB) with a popular robust estimator, MAD,.The p-value produced by modified PB was then compared with the p-value of ANOVA and Kruskal-Wallis test.The finding showed that modified PB able to produce significant result in testing the equality of central tendency measure.

Item Type: Conference or Workshop Item (Paper)
Additional Information: e-ISBN 978-967-11768-2-5 Organized by: Worldconferences.net
Uncontrolled Keywords: robust statistics, education
Subjects: L Education > L Education (General)
Divisions: College of Arts and Sciences
Depositing User: Dr. Zahayu Md Yusof
Date Deposited: 05 Jan 2014 08:38
Last Modified: 04 Dec 2016 08:13
URI: http://repo.uum.edu.my/id/eprint/10008

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