distribution-fitting

RMC-BestFit is a state-of-the-art Bayesian estimation and fitting software developed collaboratively by the USACE-RMC and ERDC-CHL.

Streamlit-based Distribution Fitter Web Application

MATLAB Toolbox for batch analysis of postsynaptic current from neuronal recording.

Evidence-first Python distribution fitting with reproducible inference, reliability models, resumable execution, and explicit statistical contracts.

Построение кривых обеспеченности по гидрометеорологическим данным

A framework for analysis and modeling of IP network flows. To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S2352711021001680

Reproducible distribution fitting, model selection, and likelihood-based uncertainty quantification across Python, R, MATLAB, and Fortran.

Study of the delay time distribution of binary compact object, model them and use of the random forest method to predict them.

AI-powered statistical distribution analyzer built using Python and Streamlit for automatic best-fit probability distribution detection, goodness-of-fit testing, AI-generated explanations, interactive visualization, and automated DOCX/XLSX report generation.

Statistical Analysis of Air Quality Index Data of India during COVID-19

A statistical analysis of the AI4I 2020 Predictive Maintenance dataset applying Reliability Theory. This project analyzes machine tool wear (Time-To-Failure) using Python, featuring distribution fitting, MLE/UMVUE parameter estimation, Kolmogorov-Smirnov goodness-of-fit testing, and the calculation of core reliability functions.

Analysis of weight-change effects in mice and rats using simulation, visualization, hypothesis testing and distribution fitting in R.

Julia backend for latency distribution fitting, SLA breach probability forecasting, and percentile band analysis. Ingests service log exports, fits LogNormal/Weibull via MLE, computes P50-P99.9 with confidence intervals, and projects 24h SLA breach probability using Markov chains. HTTP.jl REST surface.

L-moment distribution fitting for small samples containing extremes. Parallel MATLAB and Python, with guarded automatic fitting and bootstrap family selection.

Semantic word relations analysis and visualization for corpus linguistics and NLP

Complete statistical analysis of cavy lifetime dataset using Python, Pandas, NumPy, Matplotlib, and SciPy to explore, visualize, and infer the impact of bacilli infection on cavy lifetimes 🦫

Six Sigma statistical analysis of healthcare patient admission data in R — descriptive stats, sampling, visualization & distribution fitting using DMAIC methodology

Modeling the Closing Prices of Alior Bank and ING with an Analysis of the Joint Distribution of Returns

Statistical analysis of e-commerce customer purchase behavior using R, including EDA, probability analysis, distribution fitting, and linear regression modeling.

R pipeline that fits 12 probability distributions (Beta, Burr, Gamma, Log-Gamma, Log-logistic, Lognormal, Weibull) to forest DBH data by maximum likelihood, ranks them with KS / AD / CvM and AIC, and exports diagnostic plots and parameter tables.