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PDToolbox: a Python probability distribution toolbox

Cite as:

Ziebarth, Malte Jörn (2022): PDToolbox: a Python probability distribution toolbox. GFZ Data Services. https://doi.org/10.5880/GFZ.2.6.2022.002

Status

I   N       R   E   V   I   E   W : Ziebarth, Malte Jörn (2022): PDToolbox: a Python probability distribution toolbox. GFZ Data Services. https://doi.org/10.5880/GFZ.2.6.2022.002

Abstract

PDToolbox is a collection of methods helpful for doing probability distribution computations in Python. The aim of the PDToolbox Python module is to provide a set of features, based on simple probability distributions, that are not available from the scipy.stats module. This includes fast batch computations of (weighted) maximum likelihood estimates, computation of critical empirical distribution statistics, and more niche probability distributions or related code in the pdtoolbox.special module. The module contains code that is described in (ADD citations of the two articles).

Additional Information

LICENSE:

GNU General Public License, Version 3, 29 June 2007

Copyright © 2021 Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Potsdam, Germany

PDToolbox is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. PDToolbox is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program. If not, see <http://www.gnu.org/licenses/>.

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Keywords

goodness-of-fit, Anderson-Darling, Lilliefors

GCMD Science Keywords

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License: GNU General Public License Version 3 (29 June 2007); Copyright (C) 2022 Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Potsdam, Germany