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

Autor:	Michael R. Harwell
Rok vydání:	2020
Předmět:	Statistics and Probability 010104 statistics & probability 0504 sociology 05 social sciences Statistics 050401 social sciences methods Monte carlo studies 0101 mathematics Statistics Probability and Uncertainty 01 natural sciences Mathematics Type I and type II errors
Zdroj:	Journal of Modern Applied Statistical Methods. 18:2-11
ISSN:	1538-9472
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::725c6a05f105e555851ba72d57099b3c https://doi.org/10.22237/jmasm/1556670360 Zobrazit plný text záznamu