@stdlib/stats-incr-mminmax
Compute a moving minimum and maximum incrementally.
Compute a moving minimum and maximum incrementally.
Compute moving minimum and maximum absolute values incrementally.
Compute a moving sample Pearson product-moment correlation coefficient incrementally.
Compute a moving squared sample Pearson product-moment correlation coefficient incrementally.
Compute a moving range incrementally.
Compute a moving corrected sample standard deviation incrementally.
Compute a moving unbiased sample variance incrementally.
Create an iterator which iteratively computes a moving range.
Compute the range of all iterated values.
Compute the corrected sample standard deviation over all iterated values.
Compute the unbiased sample variance over all iterated values.
Compute a sample Pearson product-moment correlation matrix incrementally.
Compute a moving variance-to-mean ratio (VMR) incrementally.
Compute a sample Pearson product-moment correlation coefficient.
Compute a squared sample Pearson product-moment correlation coefficient.
Calculate the standard deviation of a double-precision floating-point strided array using a two-pass 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 one-pass algorithm proposed by Youngs and Cramer.
Calculate the variance of a single-precision floating-point strided array using extended accumulation and returning an extended precision result.