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. Aaron Clauset et al. address the ...

Context. The study of star formation is extremely challenging, due to the lack of complete and clean samples of young nearby clusters and star-forming regions. The recent Gaia DR2 catalogue ...

Abstract: This paper describes a working methodology of implementation of empirical distribution functions used as a powerful tool for a theoretical exploration and a visualization of chaotic dynamic ...

ABSTRACT: Prevalent cohort studies involve screening a sample of individuals from a population for disease, recruiting affected individuals, and prospectively following the cohort of individuals to ...

ABSTRACT: The analysis of survival data is a major focus of statistics. Interval censored data reflect uncertainty as to the exact times the units failed within an interval. This type of data ...

本リポジトリは keisemi/empirical_business_economics の fork です。原著のRコードを Python (Jupyter Notebook) に変換したものを提供してい ...