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.
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
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
Analysis of weight-change effects in mice and rats using simulation, visualization, hypothesis testing and distribution fitting in R.
Modeling the Closing Prices of Alior Bank and ING with an Analysis of the Joint Distribution of Returns
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.
Statistical analysis of e-commerce customer purchase behavior using R, including EDA, probability analysis, distribution fitting, and linear regression modeling.
Semantic word relations analysis and visualization for corpus linguistics and NLP
MultimodalFit is a Python package for fitting a combination of multiple distributions to one measurement series.
Parametric risk modelling of Indian equity indices using eGARCH + 12 distributions, with VaR and CTE applied to Market-Linked Debentures.
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.
Six Sigma statistical analysis of healthcare patient admission data in R — descriptive stats, sampling, visualization & distribution fitting using DMAIC methodology
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 🦫
The repository stores data-oriented Jupyter Notebooks. The provided examples include well-studied ML models and are used for financial modelling. The presented models include Logistic Regression, Kernel SVM, PCA, Random Forests, Body/tail calibration using MLE etc.
Statistical analysis of dog rehoming times using R, confidence intervals, distribution fitting and pairwise comparison.
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