Testing the equality of central tendency measure using different trimming strategies
This monograph presents the work on trimming procedure when researchers faced with data that appear to violate the t-test or ANOVA assumptions.It is intended as an accessible introduction on trimming which is to depart from trimming with fixed amount to automated trimming.The authors use simulation...
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| Main Authors: | , , |
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| 格式: | Monograph |
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UUM Press
2012
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| 在线阅读: | http://repo.uum.edu.my/7003/ http://www.uumpress.com.my |
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| 总结: | This monograph presents the work on trimming procedure when researchers faced with data that appear to violate the t-test or ANOVA assumptions.It is intended as an accessible introduction on trimming which is to depart from trimming with fixed amount to automated trimming.The authors use simulation methods to identify the robustness of each procedure.Several variables were manipulated such as number of groups, balanced and unbalanced sample sizes, variance heterogeneity, pairing of group variances and group sample sizes, and types of distributions.This monograph illustrates new alternative procedures to researchers (in various fields, especially the experimental sciences) which will not be constrained with all the assumptions such as normality and homogeneity of variances.Rather, the researchers can work with the original data without having to worry about the shape of the distributions. |
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