An introduction to the bootstrap: a versatile method to make inferences by using data-driven simulations [reproducibility package]

Guillaume A. Rousselet; Cyril Pernet; Rand R. Wilcox

doi:10.17605/OSF.IO/8B4T5

Title	Authors

An introduction to the bootstrap: a versatile method to make inferences by using data-driven simulations [reproducibility package]

Contributors:

Date created: | Last Updated:

: DOI | ARK

Creating DOI. Please wait...

Create DOI

Category: Project

Description: Reproducibility package for our tutorial article on the bootstrap.

License: MIT License

Projects
Registrations

Results: All Projects Results: My Projects Results: All Registrations Results: My Registrations

Has supplemental materials for An introduction to the bootstrap: a versatile method to make inferences by using data-driven simulations on PsyArXiv

Files

Loading files...

Citation

Recent Activity

Loading logs...

OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.

This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.

Create an Account Learn More Hide this message

Main content

Links to this project

An introduction to the bootstrap: a versatile method to make inferences by using data-driven simulations [reproducibility package]

Link other OSF projects

Files

Citation

Recent Activity

Start managing your projects on the OSF today.