Complex System Reliability Simulation Using Weibull Distribution via Monte Carlo Method
Reliability simulation of complex systems employing Weibull distribution through Monte Carlo probabilistic simulation techniques
Weibull Distribution Curve Fitting
MATLAB program for Weibull distribution curve fitting applicable to all data conforming to Weibull distribution. Based on rainflow counting algorithm, this program performs statistical analysis on randomly sampled data and implements linear fitting techniques.
Wind Speed Weibull Distribution: Statistical Modeling and Implementation
Modeling wind speed distributions using the Weibull probability distribution for wind energy applications and reliability engineering
Fitting Various Common Distributions
MATLAB-based program for fitting various common distributions, including Weibull distribution, Rayleigh distribution, K-distribution, and other distributions, with enhanced descriptions of implementation approaches.
Several Common Clutter Models
An overview of common clutter models including Rayleigh and Weibull distributions, with implementation insights for signal processing applications
Maximum Likelihood Estimation for Censored Data
Maximum Likelihood Estimation for Censored Data - Exponential Distribution - Weibull Distribution - Log-normal Distribution - Normal Distribution - Implementation with key statistical functions and optimization algorithms
Radar Detection and Tracking Project
This project implements a Constant False Alarm Rate (CFAR) detector specifically designed for target detection in Weibull-distributed backgrounds [1]. The Weibull distribution is characterized by two parameters: shape and scale. For detection testing, these parameters are estimated using Maximum Likelihood (ML) algorithm implementation. The project includes visual demonstrations, MATLAB/Python code examples, and comprehensive references for further study.