Power-law Distribution Fitting This is a python implementation of a power-law distribution fitter. The code here was originally hosted on agpy but was moved and re-packaged to make setup.py cleaner. API Documen
Sometimes you know the best fitting distribution, or probability density function, of your data prior to analysis; more often, you do not. Approaches to data sampling, modeling, and analysis can vary based on the distribution of your data, and so determining the best fit theoretical distribution...
ISOFIT contains a set of routines and utilities for fitting surface, atmosphere and instrument models to imaging spectrometer data. It is written primarily in Python, with JSON format configuration files and some dependencies on widely-available numerical and scientific libraries such as scipy, numpy,...
Gillespie, C.S. ”Estimating the number of casualties in the American Indian war: a Bayesian analysis using the power law distribution.” Annals of Applied Statistics, 2017. (pdf) Installation This package is hosted onCRANand can be installed in the usual way: ...
If the Markov property is verified, 𝑦𝑖𝑗𝑚 yijm follows a Binomial distribution with the parameters 𝑦𝑖𝑗 yij and 𝑝𝑖𝑗 pij. Let 𝑝𝑖𝑗𝑚=𝑃𝑟(𝑋𝑡+1=𝑚|𝑋𝑡=𝑗,𝑋𝑡−1=𝑖)=𝑃𝑟(𝑋𝑡+1=𝑚|𝑋𝑡=𝑗) pijm=PrXt+1=m|Xt...