gamma-distribution

🚀 A library designed to facilitate work with probability, statistics and stochastic calculus

PHP implementation of statistical probability distributions: normal distribution, beta distribution, gamma distribution and more.

Estimate the frequency and severity of claims to compute prior and posterior premiums. The GLM method is used with Poisson, Negative Binomial, Gamma, and Log-Norm Distribution.

BG/NBD and Gamma Gamma probabilistic models to evaluate and predict customer churn, retention, and lifetime value of an e-commerce business

PyPi package for modelling Probability distributions

BG-NBD-GammaGamma-CLTV CLTV-Analysis

The pbrain-Z2I is just a gomoku engine which use the protocol of gomocup. （最新权重在咸鱼有售）

A basic implementation for the maximum likelihood estimators of a gamma distribution's parameters.

Breast Cancer Survival Analysis using SAS on METABRIC dataset to identify key survival factors with Kaplan-Meier, Cox models, and gamma distributions

All major algorithms for Random Variables generation from Gamma Distribution.

Sussman A.L., Gardner B., Adams E.M., Salas L., Kenow K.P., Luukkonen D.R., Monfils M.J., Mueller W.P., Williams K.A., Leduc-Lapierre M., & Zipkin E.F. 2019. A comparative analysis of common methods to identify waterbird hotspots. MEE 10(9): 1454-1468.

A robust, worksheet-friendly probability-distribution library in pure Excel VBA (no add-in, no dependencies) for finance, risk modelling, teaching, and model validation.

Saratov State University, CSIT. Discipline "pseudo-random numbers generators" (псевдослучайные генераторы, rus)

Statistical models and proofs done for my Bayesian Statistics and Markov Chain/Monte Carlo class at Yale. Original problem statements and prompts available upon request!

Python package for frontier analysis

Score-based Bayesian model to predict NFL 2020 championship

Method of Moments (MoM) estimation for the univariate Gamma distribution

Raku package for statistical distributions and related random variates generations.

This repository contains statistics analytics using R for some specific questions and data.

Recursive Partitioning and Regression Trees adapted to Random Forests with more split functions