Weibull Distribution Curve Fitting

This program is designed for fitting data that follows Weibull distribution characteristics. The implementation utilizes MATLAB-based Weibull distribution curve fitting algorithms. The core foundation of this program lies in the rainflow counting method, which systematically processes randomly sampled data for statistical analysis. Our primary objective involves employing linear regression fitting to characterize data distribution patterns, enabling better data interpretation and informed decision-making. The algorithm incorporates maximum likelihood estimation for parameter optimization and includes goodness-of-fit metrics for validation. A key feature is the program's versatility - it effectively handles diverse data types meeting Weibull distribution criteria, with automated scale and shape parameter calculations. The implementation includes diagnostic plots for visual verification of fit quality and confidence interval computation for reliability assessment.