Metadata-Version: 2.1
Name: pymetalog
Version: 0.2.1
Summary: A python package that generates functions for the metalog distribution. The metalog distribution is a highly flexible probability distribution that can be used to model data without traditional parameters.
Home-page: https://github.com/tjefferies/pymetalog
Author: Colin Smith, Travis Jefferies, Isaac J. Faber
License: UNKNOWN
Description: pymetalog
        ================
        Colin Smith, Travis Jefferies, Isaac J. Faber
        
        ### The Python Metalog Distribution
        
        This repo is a working project for a python package (**pymetalog**) that generates functions
        for the metalog distribution. The metalog distribution is a highly
        flexible probability distribution that can be used to model data without
        traditional parameters.
        
        ### Metalog Background
        
        In economics, business, engineering, science and other fields,
        continuous uncertainties frequently arise that are not easily- or
        well-characterized by previously-named continuous probability
        distributions. Frequently, there is data available from measurements,
        assessments, derivations, simulations or other sources that characterize
        the range of an uncertainty. But the underlying process that generated
        this data is either unknown or fails to lend itself to convenient
        derivation of equations that appropriately characterize the probability
        density (PDF), cumulative (CDF) or quantile distribution functions.
        
        The metalog distributions are a family of continuous univariate
        probability distributions that directly address this need. They can be
        used in most any situation in which CDF data is known and a flexible,
        simple, and easy-to-use continuous probability distribution is needed to
        represent that data. Consider their [uses and
        benefits](http://www.metalogdistributions.com/usesbenefits.html). Also
        consider their
        [applications](http://www.metalogdistributions.com/applicationsdata.html)
        over a wide range of fields and data sources.
        
        This repository is a complement and extension of the information found
        in the [paper
        published](http://pubsonline.informs.org/doi/abs/10.1287/deca.2016.0338)
        in Decision Analysis and the
        [website](http://www.metalogdistributions.com/)
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
