Statistical Analysis is a C# .NET Windows desktop app to easily do statistical calculations.
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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.
Exponential distribution standard deviation.
Calculate the variance of a strided array ignoring NaN values and using Welford's algorithm.
Beta distribution variance.
Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using Welford's algorithm.
Binomial distribution variance.
Calculate the variance of a strided array ignoring NaN values.
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 two-pass algorithm with extended accumulation and returning an extended precision result.
Uniform distribution variance.
Student's t distribution standard deviation.
A collection of statistical methods
This repository contains all the data visualisation techniques applied for various visualisation and find some useful insight using libraries like Matplotlib and Seaborn and use of some other python libraries.
Calculate the variance of a double-precision floating-point strided array provided a known mean and using a one-pass textbook algorithm.
Chi-squared distribution standard deviation.
Arcsine distribution variance.
Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.
Hypergeometric distribution standard deviation.
Calculate the standard deviation of a strided array using a one-pass textbook algorithm.
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