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distfit is a python library for probability density fitting.

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 02 Jan 2020Publisher:Zenodo
Authors: Taskesen, Erdogan;

doi: 10.5281/zenodo.15271603 , 10.5281/zenodo.7709218 , 10.5281/zenodo.7579534 , 10.5281/zenodo.15260841 , 10.5281/zenodo.15260634 , 10.5281/zenodo.5745398 , 10.5281/zenodo.7767074 , 10.5281/zenodo.15271538 , 10.5281/zenodo.7650685 , 10.5281/zenodo.15712917 , 10.5281/zenodo.7650627 , 10.5281/zenodo.7600615 , 10.5281/zenodo.7591353 , 10.5281/zenodo.10251159 , 10.5281/zenodo.7734888 , 10.5281/zenodo.7579905 , 10.5281/zenodo.7675610 , 10.5281/zenodo.11209078 , 10.5281/zenodo.15175398 , 10.5281/zenodo.7633929 , 10.5281/zenodo.15261964 , 10.5281/zenodo.10307580 , 10.5281/zenodo.7605127 , 10.5281/zenodo.10023310 , 10.5281/zenodo.7643915 , 10.5281/zenodo.15467874 , 10.5281/zenodo.7618762 , 10.5281/zenodo.8395688 , 10.5281/zenodo.7622625 , 10.5281/zenodo.8217131 , 10.5281/zenodo.7622637 , 10.5281/zenodo.7576451 , 10.5281/zenodo.10038329

distfit is a python library for probability density fitting.

Abstract

Fix for the minimum logging level of INFO. All levels, including None, are available again.

If you use this software, please cite it using these metadata.

Keywords

density-functions, probability-distribution, fitting-curve, hypothesis-testing, probability-statistics

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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