JSPM

Calculate the variance of a double-precision floating-point strided array using a two-pass algorithm.

Calculate the variance of a strided array ignoring NaN values and using a one-pass textbook algorithm.

Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using a one-pass textbook algorithm.

Calculate the variance of a single-precision floating-point strided array.

Calculate the standard deviation of a strided array ignoring NaN values.

Calculate the standard deviation of a double-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.

Calculate the variance of a single-precision floating-point strided array using a two-pass algorithm.

Calculate the standard deviation of a strided array using a one-pass algorithm proposed by Youngs and Cramer.

Calculate the standard deviation of a double-precision floating-point strided array using Welford's algorithm.

Fligner-Killeen test for equal variances.

Calculate the variance of a single-precision floating-point strided array using a one-pass trial mean algorithm.

Normalizes an ndarray to zero mean and unit variance

Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using Welford's algorithm.

Get gaussian density at a point

Calculate the mean and variance of a double-precision floating-point strided array.

Calculate the variance of a single-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.

Perform Levene's statistical test for equality of group variances

Javascript Allan Variance library

Create an iterator which iteratively computes a moving range.

Now, you can calculate the sum, average, mode, median, range, variance, and standard deviation for the given array of numbers.

Decriptive Statistics

Compute the unbiased sample variance over all iterated values.

online average, variance, covariance and correlation

A small library of awesome statistical functions.

Reduce transform stream which calculates the covariance of streamed numeric data.

average, standard deviation, variance, covariance and correlation of data sets

Reduce transform stream which calculates the Pearson product-moment correlation coefficient matrix of streamed numeric data.

Compute the range of all iterated values.

Intelligent average of data set of numbers calculating variance and discarding the farthest values.

Create an iterator which iteratively computes a cumulative range.

To use basic statistics functions to calculation

Reduce transform stream which calculates the variance of streamed data.

Poisson distribution variance.

Simple statistics utility functions (mean, median, mode, etc.)

Helpful utility functions for basic statistical operations

Variance

Pass comma seprater array value for get standard deviation values

An average, variance, covariance and correlation calculator written in TypeScript