2006
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Abstract: This study investigates the effect of bias-corrected estimators in analyzing real-world skewed data where categorization and transformation are necessary. It also reports a small-scale simulation study to indicate factors which can influence the bias correction to be small or large. For the complete data-set, it is observed that the maximum likelihood estimates and Schaefer's bias-corrected estimates are not greatly different. However, when the original sample size is reduced by about 50%, the difference betwe… Show more

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