A strategy for using bias and RMSE as outcomes in Monte Carlo Studies in statistics

Michael Harwell

doi:10.22237/jmasm/1551907966

A strategy for using bias and RMSE as outcomes in Monte Carlo Studies in statistics

Michael Harwell

Educational Psychology

Research output: Contribution to journal › Article › peer-review

15 Scopus citations

Abstract

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.

Original language	English (US)
Article number	eP2938
Journal	Journal of Modern Applied Statistical Methods
Volume	17
Issue number	2
DOIs	https://doi.org/10.22237/jmasm/1551907966
State	Published - 2018

Bibliographical note

Publisher Copyright:
© 2018 Wayne State University.

Keywords

Analysis of outcomes
Bias
Monte Carlo
RMSE

Publisher link

10.22237/jmasm/1551907966

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title = "A strategy for using bias and RMSE as outcomes in Monte Carlo Studies in statistics",

abstract = "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.",

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language = "English (US)",

volume = "17",

journal = "Journal of Modern Applied Statistical Methods",

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KW - Monte Carlo

KW - RMSE

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A strategy for using bias and RMSE as outcomes in Monte Carlo Studies in statistics

Abstract

Bibliographical note

Keywords

Publisher link

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