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.
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
2002
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| Subjects: | |
| Online Access: | http://eprints.usm.my/3192/ http://eprints.usm.my/3192/1/Trimming%2C_transforming_statistics%2C_and_bootstrapping_Circumv.pdf |
| Summary: | Researchers can adopt different measures of central tendency and test statistics to examine the effect of a
treatment variable across groups. |
|---|