๐ Statistics & Data
Perform distributions, hypothesis testing, regression, and data analysis directly in CSharpNumerics.
namespace CSharpNumerics.Statistics
| Module | Description |
|---|---|
| ๐ Descriptive | Summary statistics, moments, percentiles, skewness, and kurtosis |
| ๐ Inferential | Regression, correlation, estimation, and inferential analysis |
| ๐งช Hypothesis Testing | Parametric and non-parametric tests, ANOVA, and significance workflows |
| ๐ฒ Random | Seedable random-number generation and advanced sampling methods |
| ๐ Distributions | Probability distributions, density functions, and shared distribution interfaces |
| ๐ฏ Monte Carlo | General-purpose Monte Carlo simulation and stochastic estimation |
| ๐ก๏ธ Robust | Outlier-resistant statistical methods |
| โคด๏ธ Fitting | Curve fitting, residual analysis, goodness-of-fit, and parameter estimation |
| โณ Time Series Analysis | Periodic signal detection, detrending, phase folding, and peak fitting |
| ๐๏ธ Data | Indexed datasets, time-series structures, and statistical data containers |