@stdlib/stats-iter-variance
Compute the unbiased sample variance over all iterated values.
Compute the unbiased sample variance over all iterated values.
Return an integer corresponding to the unbiased exponent of a single-precision floating-point number.
Compute an arithmetic mean and corrected sample standard deviation incrementally.
Compute an arithmetic mean and unbiased sample variance incrementally.
Compute a sample absolute Pearson product-moment correlation coefficient.
Compute an unbiased sample covariance matrix incrementally.
Compute a moving sample absolute Pearson product-moment correlation coefficient incrementally.
Compute a moving unbiased sample covariance incrementally.
Compute an unbiased sample covariance incrementally.
Calculate the mean and standard deviation of a double-precision floating-point strided array using a two-pass algorithm.
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 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 strided array ignoring NaN values and using a two-pass algorithm.
Calculate the standard deviation of a strided array ignoring NaN values and using a one-pass textbook algorithm.
Calculate the standard deviation of a strided array ignoring NaN values and using Welford's algorithm.
Calculate the standard deviation of a strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.
Calculate the variance of a strided array ignoring NaN values.
Calculate the variance of a strided array ignoring NaN values and using a one-pass trial mean algorithm.