Trimming, Transforming Statistics, And Bootstrapping: Circumventing the Biasing Effects Of Heterescedasticity And Nonnormality.

Keselman, H. J. and Wilcox, Rand R. and Othman, Prof.Madya Abdul Rahman and Fradette, Katherine (2002) Trimming, Transforming Statistics, And Bootstrapping: Circumventing the Biasing Effects Of Heterescedasticity And Nonnormality. Journal of Modern Applied Statistical Methods, 1 (2). pp. 288-309.

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Abstract

Researchers can adopt different measures of central tendency and test statistics to examine the effect of a treatment variable across groups.

Item Type: Article
Subjects: L Education > LC Special aspects of education > LC5800-5808 Distance education.
Divisions: Pusat Pengajian Pendidikan Jarak Jauh (School of Distance Education)
Depositing User: ARKM Al Rashid Automasi
Date Deposited: 10 Oct 2008 13:01
Last Modified: 13 Jul 2013 01:00
URI: http://eprints.usm.my/id/eprint/3192

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