期刊名称：Journal of Modern Applied Statistical Methods
出版年度：2018
卷号：17
期号：2
页码：5
出版社：Wayne State University
摘要：To help ensure important patterns of bias and accuracy are detected in Monte Carlo studies in statistics this paper proposes conditioning bias and root mean square error (RMSE) measures on estimated Type I and Type II error rates. A small Monte Carlo study is used to illustrate this argument.
