This project analyzes a random 𝑛 n-dimensional vector ( 𝑛 ≥ 100 n≥100) by fitting Poisson and Gaussian distributions. It includes data generation, parameter calculation, and visualization through ...

This repository offers a step-by-step guide to Poisson regression analysis, encompassing data import, exploration, visualization, feature engineering, and model fitting, enabling users to gain a ...

Each entry starts with a definition and explanation of the Poisson distribution properties, that is followed by a discussion of how to obtain or estimate the Poisson distribution. Finally, every entry ...

A method of fitting the compound Poisson lognormal distribution by maximum likelihood is described; a computer program is available for performing the calculations. It is shown how the information ...

Goodness-of-fit tests based on the Cramér-von Mises statistics are given for the Poisson distribution. Power comparisons show that these statistics, particularly A2, give good overall tests of fit.