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
scite is a Brooklyn-based startup that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.