@stdlib/stats-base-dvarianceyc
Calculate the variance of a double-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.
Calculate the variance of a double-precision floating-point strided array 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.
Calculate the standard deviation 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 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 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 double-precision floating-point strided array using a one-pass textbook algorithm.
Calculate the standard deviation of a double-precision floating-point strided array using Welford's algorithm.
Calculate the standard deviation of a double-precision floating-point strided array using a two-pass algorithm.
Calculate the range of a single-precision floating-point strided array according to a mask.
Compute a sample Pearson product-moment correlation matrix incrementally.
Compute a range incrementally.
Compute a moving range incrementally.
Compute a moving unbiased sample variance incrementally.