Statistical Analysis is a C# .NET Windows desktop app to easily do statistical calculations.
-
Updated
Feb 18, 2024 - C#
Statistical Analysis is a C# .NET Windows desktop app to easily do statistical calculations.
Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using Welford's algorithm.
Beta distribution variance.
This example computes three core statistics from an array (a), namely the average (AV), standard deviation (SD), and coefficient of variation (CV). Results are derived step by step and returned in array (r). Implemented in Python, MATLAB, and JavaScript.
Exponential distribution standard deviation.
Calculate the variance of a strided array ignoring NaN values and using Welford's algorithm.
Calculate the variance of an array using a two-pass algorithm.
Calculate the standard deviation of an array using Welford's algorithm.
Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using Welford's algorithm.
Calculate the variance of a single-precision floating-point strided array using a two-pass algorithm with extended accumulation and returning an extended precision result.
Calculate the mean and variance of a double-precision floating-point strided array.
Calculate the mean and variance of a double-precision floating-point strided array using a two-pass algorithm.
Calculate the mean and standard deviation of a double-precision floating-point strided array.
Compute a moving unbiased sample covariance incrementally.
Calculate the standard deviation of a double-precision floating-point strided array using Welford's algorithm.
Calculate the standard deviation of a double-precision floating-point strided array using a two-pass algorithm.
Calculate the variance of a single-precision floating-point strided array using a one-pass textbook algorithm.
Hypergeometric distribution standard deviation.
Calculate the variance of a double-precision floating-point strided array provided a known mean and using a one-pass textbook algorithm.
Calculate the standard deviation of a double-precision floating-point strided array using a one-pass trial mean algorithm.
Add a description, image, and links to the deviation topic page so that developers can more easily learn about it.
To associate your repository with the deviation topic, visit your repo's landing page and select "manage topics."