Comparing the "Typical Score" Across Independent Groups Based on Different Criteria for Trimming

Nonnormality and variance heterogeneity affect the validity of the traditional tests for treatment group equality (e.g. ANOVA F-test and t-test), particularly when group sizes are unequal. Adopting trimmed means instead of the usual least squares estimator has been shown to be mostly affective in co...

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Bibliographic Details
Main Authors: Syed Yahaya, S.S (Author), Othman, Prof.Madya Abdul Rahman (Author), Keselman, H. J. (Author)
Format: Article
Language:English
Published: 2006.
Subjects:
Online Access:Get fulltext
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100 1 0 |a Syed Yahaya, S.S.  |e author 
700 1 0 |a Othman, Prof.Madya Abdul Rahman  |e author 
700 1 0 |a Keselman, H. J.  |e author 
245 0 0 |a Comparing the "Typical Score" Across Independent Groups Based on Different Criteria for Trimming 
260 |c 2006. 
856 |z Get fulltext  |u http://eprints.usm.my/3115/1/Comparing_the_%E2%80%9CTypical_Score%E2%80%9D_Across_Independent_Groups_Base.pdf 
520 |a Nonnormality and variance heterogeneity affect the validity of the traditional tests for treatment group equality (e.g. ANOVA F-test and t-test), particularly when group sizes are unequal. Adopting trimmed means instead of the usual least squares estimator has been shown to be mostly affective in combating the deleterious effects of nonnormality. 
546 |a en 
650 0 4 |a LC5800-5808 Distance education.