@stdlib/stats-base-variancewd
Calculate the variance of a strided array using Welford's algorithm.
Calculate the variance of a strided array using Welford's algorithm.
Calculate the variance of a strided array using a one-pass algorithm proposed by Youngs and Cramer.
Calculate the variance of a strided array using a one-pass textbook algorithm.
Exact test for the success probability in a Bernoulli experiment.
Perform a chi-square goodness-of-fit test.
Calculate the variance of a single-precision floating-point strided array ignoring NaN values.
Calculate the minimum absolute value of a strided array.
Calculate the minimum value of a sorted strided array.
Calculate the maximum value of a strided array according to a mask.
Calculate the minimum value of a strided array according to a mask.
Calculate the range of a strided array according to a mask.
Calculate the maximum value of a strided array, ignoring NaN values.
Calculate the maximum value of a strided array via a callback function, ignoring NaN values.
Calculate the maximum absolute value of a strided array, ignoring NaN values.
Calculate the arithmetic mean of a strided array, ignoring NaN values.
Create an iterator which iteratively computes a moving arithmetic mean.
Create an iterator which iteratively computes a moving arithmetic mean of absolute values.
Create an iterator which iteratively computes a moving arithmetic mean of squared absolute values.
Create an iterator which iteratively computes a moving mid-range.
Create an iterator which iteratively computes a moving minimum value.