A Survey of Reporting Practices of Computer Simulation Studies in Statistical Research

Michael R Harwell, Nidhi Kohli, Yadira Peralta-Torres

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Computer simulation studies represent an important tool for investigating processes difficult or impossible to study using mathematical theory or real data. Hoaglin and Andrews recommended these studies be treated as statistical sampling experiments subject to established principles of design and data analysis, but the survey of Hauck and Anderson suggested these recommendations had, at that point in time, generally been ignored. We update the survey results of Hauck and Anderson using a sample of studies applying simulation methods in statistical research to assess the extent to which the recommendations of Hoaglin and Andrews and others for conducting simulation studies have been adopted. The important role of statistical applications of computer simulation studies in enhancing the reproducibility of scientific findings is also discussed. The results speak to the state of the art and the extent to which these studies are realizing their potential to inform statistical practice and a program of statistical research.

Original languageEnglish (US)
Pages (from-to)321-327
Number of pages7
JournalAmerican Statistician
Volume72
Issue number4
DOIs
StatePublished - Oct 2 2018

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Computer Simulation
Simulation Study
Recommendations
Reproducibility
Simulation Methods
Data analysis
Update
Simulation study
Computer simulation
Experiment
Simulation methods
Sampling

Keywords

  • Computer simulation
  • Design and data analysis
  • Survey

Cite this

A Survey of Reporting Practices of Computer Simulation Studies in Statistical Research. / Harwell, Michael R; Kohli, Nidhi; Peralta-Torres, Yadira.

In: American Statistician, Vol. 72, No. 4, 02.10.2018, p. 321-327.

Research output: Contribution to journalArticle

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