@stdlib/stats-base-nanstdevpn
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 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 arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using extended accumulation.
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using ordinary recursive summation with extended accumulation.
Calculate the maximum value of a single-precision floating-point strided array.
Calculate the maximum absolute value of a single-precision floating-point strided array.
Calculate the maximum absolute value of a sorted single-precision floating-point strided array.
Calculate the maximum value of a sorted single-precision floating-point strided array.
Calculate the arithmetic mean of a single-precision floating-point strided array.
Calculate the arithmetic mean of a single-precision floating-point strided array using an improved Kahan–Babuška algorithm.
Calculate the arithmetic mean of a single-precision floating-point strided array using a second-order iterative Kahan–Babuška algorithm.
Calculate the variance of a strided array ignoring NaN values and using a one-pass trial mean algorithm.
Calculate the variance of a strided array ignoring NaN values and using a two-pass algorithm.
Calculate the variance of a strided array ignoring NaN values and using a one-pass textbook algorithm.
Calculate the variance of a strided array ignoring NaN values and using Welford's algorithm.
Calculate the variance of a strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.
Calculate the minimum absolute value of a strided array, ignoring NaN values.