@stdlib/stats-base-nanvariancech
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 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 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.
Calculate the variance of a single-precision floating-point strided array.
Calculate the variance of a single-precision floating-point strided array using a one-pass trial mean algorithm.
Calculate the variance of a single-precision floating-point strided array using a two-pass algorithm.
Calculate the variance of a single-precision floating-point strided array using a one-pass textbook algorithm.
Calculate the variance of a single-precision floating-point strided array using Welford's algorithm.
Calculate the variance of a single-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.
Calculate the variance of a strided array.
Calculate the variance of a strided array using a one-pass trial mean algorithm.
Compute an unbiased sample variance incrementally.
Create an iterator which iteratively computes a cumulative range.
Compute a variance-to-mean ratio (VMR) incrementally.
Calculate the standard deviation of a double-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.