@stdlib/stats-base-dsemyc
Calculate the standard error of the mean for a double-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.
Calculate the standard error of the mean for a double-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.
Calculate the standard deviation of a double-precision floating-point strided array.
Calculate the standard deviation of a double-precision floating-point strided array using a one-pass trial mean algorithm.
Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using Welford's algorithm.
Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.
Calculate the variance of a single-precision floating-point strided array ignoring NaN values.
Calculate the standard deviation of a strided array.
Calculate the standard deviation of a strided array using a one-pass trial mean algorithm.
Calculate the standard deviation of a strided array using a two-pass 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.
Compute an unbiased sample covariance incrementally.
Compute an unbiased sample covariance matrix incrementally.
Compute the coefficient of variation (CV) incrementally.
Compute an exponentially weighted standard deviation incrementally.
Compute an exponentially weighted variance incrementally.
Weibull distribution standard deviation.
Calculate the standard deviation of a strided array ignoring NaN values.
Calculate the standard deviation of a strided array ignoring NaN values and using a one-pass trial mean algorithm.
Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values.