This R statistical nmath module re-created in typescript/javascript and handwritten webassembly.

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

waveform LiDAR data processing and analysis

ProFeld: survival analysis, predictive maintenance, churn analysis, and remaining useful life prediction in Python

Matlab functions to plot 2D and 3D maps from nanoindentation tests.

Official implementation of "Extreme Value Meta-Learning for Few-Shot Open-Set Recognition of Hyperspectral Images" (TGRS'23)

Wind Energy : A Practical Power Analysis Approach - Open Sourced Code for the Research Paper published in IEEE.

codes from theorems in the field of stochastic processes

MENSA: A Multi-Event Network for Survival Analysis with Trajectory-based Likelihood Estimation. Accepted at ML4H 2025.

Parameter estimation of Weibull Distribution

Statistical estimation of optimal solutions for combinatorial optimization problems

[Archived] R package for Weibull series system estimation from masked failure data. Companion code for master's project (SIUE, 2023). Superseded by likelihood.model.series.md.

This repository contains an SPSS analysis project, performed to derive insights from the data while maintaining confidentiality. The repository includes an SPSS worksheet and a Word file summarizing the results.

The official codebase for the paper "Full band watermarking in DCT domain with Weibull model"

Weibull Distribution Plot in Shiny

Simple program for finding the Weibull distribution parameters

"Programming analytical solutions" project

These are graphical plots of reliability data which are quick and useful visual test to determine if a particular model is consistent with an observed data from an operating system or manufacturing equipment

A course project for estimating the parameters of a Weibull Distribution which models the survival rates of cancer using Maximum Likelihood Estimation

Cyclical and rhythm based statistics

Simple program for finding Weibull distribution parameters

Just use cumulative density data by time to fit the Weibull CDF distribution

This project converts Xie's (1989) Riemann-Stieltjes algorithm from BASIC to Mathematica, enabling the calculation of renewal functions for any probability distribution. Renewal functions are key in renewal theory, modeling random events like equipment failures, repairs, or arrivals in stochastic processes and probability theory.

Este trabalho propõe uma abordagem integrada para a otimização de carteiras de investimentos, considerando simultaneamente três critérios fundamentais: retorno esperado, risco associado e custo operacional decorrente do rebalanceamento da carteira.

Simple program for finding the Weibull distribution parameters

Design of Experiments (DOE), Quality control and process control,Time and methods engineering, Reliability engineering, Probabilistic design, System identification.

Estimating common parameters of the distribution of a successive Random dilution. A comparative study.

Weibull Distribution Plot in Shiny for Python

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ShinyApp for parameter estimation of Weibull distribution