Software repository
Paper review
Download paper
Software archive
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}
}
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.
