@stdlib/stats-base-smskmax
Calculate the maximum value of a single-precision floating-point strided array according to a mask.
Calculate the maximum value of a single-precision floating-point strided array according to a mask.
Calculate the minimum value of a single-precision floating-point strided array according to a mask.
Calculate the range of a single-precision floating-point strided array according to a mask.
Calculate the maximum value of a single-precision floating-point strided array, ignoring NaN values.
Calculate the maximum absolute value of a single-precision floating-point strided array, ignoring NaN values.
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values.
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using ordinary recursive summation.
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using a two-pass error correction algorithm.
Calculate the variance of a strided array.
Calculate the variance of a strided array using a one-pass trial mean algorithm.
Calculate the variance of a strided array using a two-pass algorithm.
Calculate the variance of a strided array using a one-pass textbook 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 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 standard deviation of a strided array using a one-pass textbook algorithm.
Calculate the standard deviation of a strided array using Welford's algorithm.
Calculate the standard deviation of a strided array using a one-pass algorithm proposed by Youngs and Cramer.