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

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

Bibliographic Details
Main Authors: Keselman, H. J., Wilcox, Rand R., Othman, Prof.Madya Abdul Rahman, Fradette, Katherine
Format: Article
Language:English
Published: 2002
Subjects:
Online Access:http://eprints.usm.my/3192/
http://eprints.usm.my/3192/1/Trimming%2C_transforming_statistics%2C_and_bootstrapping_Circumv.pdf
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author Keselman, H. J.
Wilcox, Rand R.
Othman, Prof.Madya Abdul Rahman
Fradette, Katherine
author_facet Keselman, H. J.
Wilcox, Rand R.
Othman, Prof.Madya Abdul Rahman
Fradette, Katherine
author_sort Keselman, H. J.
building USM Institutional Repository
collection Online Access
description Researchers can adopt different measures of central tendency and test statistics to examine the effect of a treatment variable across groups.
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format Article
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institution Universiti Sains Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T15:03:18Z
publishDate 2002
recordtype eprints
repository_type Digital Repository
spelling usm-31922013-07-13T01:00:42Z http://eprints.usm.my/3192/ Trimming, Transforming Statistics, And Bootstrapping: Circumventing the Biasing Effects Of Heterescedasticity And Nonnormality. Keselman, H. J. Wilcox, Rand R. Othman, Prof.Madya Abdul Rahman Fradette, Katherine LC5800-5808 Distance education. Researchers can adopt different measures of central tendency and test statistics to examine the effect of a treatment variable across groups. 2002 Article NonPeerReviewed application/pdf en http://eprints.usm.my/3192/1/Trimming%2C_transforming_statistics%2C_and_bootstrapping_Circumv.pdf 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.
spellingShingle LC5800-5808 Distance education.
Keselman, H. J.
Wilcox, Rand R.
Othman, Prof.Madya Abdul Rahman
Fradette, Katherine
Trimming, Transforming Statistics, And Bootstrapping: Circumventing the Biasing Effects Of Heterescedasticity And Nonnormality.
title Trimming, Transforming Statistics, And Bootstrapping: Circumventing the Biasing Effects Of Heterescedasticity And Nonnormality.
title_full Trimming, Transforming Statistics, And Bootstrapping: Circumventing the Biasing Effects Of Heterescedasticity And Nonnormality.
title_fullStr Trimming, Transforming Statistics, And Bootstrapping: Circumventing the Biasing Effects Of Heterescedasticity And Nonnormality.
title_full_unstemmed Trimming, Transforming Statistics, And Bootstrapping: Circumventing the Biasing Effects Of Heterescedasticity And Nonnormality.
title_short Trimming, Transforming Statistics, And Bootstrapping: Circumventing the Biasing Effects Of Heterescedasticity And Nonnormality.
title_sort trimming, transforming statistics, and bootstrapping: circumventing the biasing effects of heterescedasticity and nonnormality.
topic LC5800-5808 Distance education.
url http://eprints.usm.my/3192/
http://eprints.usm.my/3192/1/Trimming%2C_transforming_statistics%2C_and_bootstrapping_Circumv.pdf