Metrics As Scores: A Tool- and Analysis Suite and Interactive Application for Exploring Context-Dependent Distributions

Python Jupyter Notebook Submitted 03 October 2022Published 25 August 2023
Review

Editor: @mikldk (all papers)
Reviewers: @mdhaber (all reviews), @kostiantyn-kucher (all reviews)

Authors

Sebastian Hönel (0000-0001-7937-1645), Morgan Ericsson (0000-0003-1173-5187), Welf Löwe (0000-0002-7565-3714), Anna Wingkvist (0000-0002-0835-823X)

Citation

Hönel et al., (2023). Metrics As Scores: A Tool- and Analysis Suite and Interactive Application for Exploring Context-Dependent Distributions. Journal of Open Source Software, 8(88), 4913, https://doi.org/10.21105/joss.04913

@article{Hönel2023, doi = {10.21105/joss.04913}, url = {https://doi.org/10.21105/joss.04913}, year = {2023}, publisher = {The Open Journal}, volume = {8}, number = {88}, pages = {4913}, author = {Sebastian Hönel and Morgan Ericsson and Welf Löwe and Anna Wingkvist}, title = {Metrics As Scores: A Tool- and Analysis Suite and Interactive Application for Exploring Context-Dependent Distributions}, journal = {Journal of Open Source Software} }
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Multiple ANOVA Distribution fitting Inverse sampling Empirical distributions Kernel density estimation

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ISSN 2475-9066