WilcoxonStatRank

WilcoxonStatRank is an advanced statistical methodology designed to assess and compare two independent data samples by ranking their combined values, offering a robust alternative to parametric tests in situations where normality assumptions cannot be met. It employs the Wilcoxon rank-sum algorithm to generate a ranking system that evaluates the degree of deviation between the samples, adjusting for ties and non-standard distributions. This technique proves indispensable in fields requiring distribution-free comparisons, as it systematically measures the statistical significance of observed differences, providing deep insights into non-parametric data behavior.

Key Features:
- Calculate Tie-Adjusted Rank-Sum Evaluation
- Calculate Paired Rank-Sum Resampling Estimator
- Calculate Wilcoxon Stratified Sampling Analysis
- Calculate Rank-Sum Effect Size Determination
- Calculate Rank Distribution Confidence Interval
- Calculate Rank-Sum Gini Coefficient Analyzer