@stdlib/stats-base-varianceyc
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 algorithm proposed by Youngs and Cramer.
Compute the unbiased sample variance over all iterated values.
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 variance of a double-precision floating-point strided array ignoring NaN values.
Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.
Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using a two-pass algorithm.
Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using a one-pass textbook algorithm.
Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using Welford's algorithm.
Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.
Calculate the variance of a double-precision floating-point strided array provided a known mean.
Calculate the variance of a double-precision floating-point strided array provided a known mean and using Neely's correction algorithm.
Calculate the variance of a double-precision floating-point strided array provided a known mean and using a one-pass textbook algorithm.
Compute the corrected sample standard deviation over all iterated values.
Compute a corrected sample standard deviation incrementally.
Compute an unbiased sample variance incrementally.
Compute a variance-to-mean ratio (VMR) incrementally.
Compute a moving arithmetic mean and corrected sample standard deviation incrementally.
Compute a moving arithmetic mean and unbiased sample variance incrementally.
Compute a moving corrected sample standard deviation incrementally.