统计学中蒙特卡罗研究偏差时一类错误率的重要性

Q3 Mathematics

Journal of Modern Applied Statistical Methods Pub Date : 2020-02-25 DOI:10.22237/jmasm/1556670360

Michael R. Harwell

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引用次数: 2

摘要

统计学中蒙特卡罗研究的两个常见结果是偏倚和I型错误率。存在几种版本的偏差统计，但都采用任意截止值来决定偏差何时可以忽略或不可忽略。本文认为，在评估偏倚时应该使用I型错误率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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The Importance of Type I Error Rates When Studying Bias in Monte Carlo Studies in Statistics

Two common outcomes of Monte Carlo studies in statistics are bias and Type I error rate. Several versions of bias statistics exist but all employ arbitrary cutoffs for deciding when bias is ignorable or non-ignorable. This article argues Type I error rates should be used when assessing bias.

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来源期刊

Journal of Modern Applied Statistical Methods STATISTICS & PROBABILITY-

CiteScore

0.50

自引率

0.00%

发文量

期刊介绍： The Journal of Modern Applied Statistical Methods is an independent, peer-reviewed, open access journal designed to provide an outlet for the scholarly works of applied nonparametric or parametric statisticians, data analysts, researchers, classical or modern psychometricians, and quantitative or qualitative methodologists/evaluators.