There are 0 repository under sample-variance topic.
Calculate the mean and variance of a double-precision floating-point strided array.
Calculate the mean and variance of a double-precision floating-point strided array using a two-pass algorithm.
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 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 variance 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 single-precision floating-point strided array using extended accumulation and returning an extended precision result.
Calculate the variance of a double-precision floating-point strided array using a two-pass algorithm.
Calculate the variance of a double-precision floating-point strided array using a one-pass textbook algorithm.
Calculate the variance of a double-precision floating-point strided array using Welford's algorithm.
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 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 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 variance of a single-precision floating-point strided array ignoring NaN values.
Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.
Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using a one-pass textbook algorithm.
Calculate the variance of a single-precision floating-point strided array.
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 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.
Calculate the variance of a strided array using a one-pass textbook algorithm.
Compute an arithmetic mean and unbiased sample variance incrementally.
Compute a moving corrected sample standard deviation incrementally.
Compute a moving unbiased sample variance incrementally.
Compute a moving variance-to-mean ratio (VMR) incrementally.
Compute a corrected sample standard deviation incrementally.
Compute an unbiased sample variance incrementally.
Compute a variance-to-mean ratio (VMR) incrementally.
Compute the unbiased sample variance over all iterated values.
Unbiasedness of the Sample Variance through a Monte-Carlo simulation.
Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using a two-pass algorithm.
Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using Welford's algorithm.
Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.
Calculate the variance of a single-precision floating-point strided array using a one-pass trial mean algorithm.