Hypothesize: Robust Statistics for Python

Python Submitted 20 May 2020Published 19 June 2020
Review

Editor: @csoneson (all papers)
Reviewers: @martinagvilas (all reviews), @arbennett (all reviews)

Authors

Allan Campopiano (0000-0002-3280-4447), Rand R. Wilcox (0000-0002-2524-2976)

Citation

Campopiano et al., (2020). Hypothesize: Robust Statistics for Python. Journal of Open Source Software, 5(50), 2241, https://doi.org/10.21105/joss.02241

@article{Campopiano2020, doi = {10.21105/joss.02241}, url = {https://doi.org/10.21105/joss.02241}, year = {2020}, publisher = {The Open Journal}, volume = {5}, number = {50}, pages = {2241}, author = {Allan Campopiano and Rand R. Wilcox}, title = {Hypothesize: Robust Statistics for Python}, journal = {Journal of Open Source Software} }
Copy citation string · Copy BibTeX  
Tags

R statistics statistical analysis bootstrapping trimmed mean data analysis data science social science hypothesis testing

Altmetrics
Markdown badge

 

License

Authors of JOSS papers retain copyright.

This work is licensed under a Creative Commons Attribution 4.0 International License.

Creative Commons License

Table of Contents
Public user content licensed CC BY 4.0 unless otherwise specified.
ISSN 2475-9066