sample-variance
There are 112 repositories under sample-variance topic.
stdlib-js/stats-base-dmeanvar
Calculate the mean and variance of a double-precision floating-point strided array.
stdlib-js/stats-base-dmeanvarpn
Calculate the mean and variance of a double-precision floating-point strided array using a two-pass algorithm.
stdlib-js/stats-base-dnanvariancech
Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.
stdlib-js/stats-base-dnanvariancetk
Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using a one-pass textbook algorithm.
stdlib-js/stats-base-dnanvariancewd
Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using Welford's algorithm.
stdlib-js/stats-base-dnanvarianceyc
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.
stdlib-js/stats-base-dsvariance
Calculate the variance of a single-precision floating-point strided array using extended accumulation and returning an extended precision result.
stdlib-js/stats-base-dvariancepn
Calculate the variance of a double-precision floating-point strided array using a two-pass algorithm.
stdlib-js/stats-base-dvariancetk
Calculate the variance of a double-precision floating-point strided array using a one-pass textbook algorithm.
stdlib-js/stats-base-dvariancewd
Calculate the variance of a double-precision floating-point strided array using Welford's algorithm.
stdlib-js/stats-base-dvarmpn
Calculate the variance of a double-precision floating-point strided array provided a known mean and using Neely's correction algorithm.
stdlib-js/stats-base-nanvariancech
Calculate the variance of a strided array ignoring NaN values and using a one-pass trial mean algorithm.
stdlib-js/stats-base-nanvariancewd
Calculate the variance of a strided array ignoring NaN values and using Welford's algorithm.
stdlib-js/stats-base-nanvarianceyc
Calculate the variance of a strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.
stdlib-js/stats-base-snanvariance
Calculate the variance of a single-precision floating-point strided array ignoring NaN values.
stdlib-js/stats-base-snanvariancech
Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.
stdlib-js/stats-base-snanvariancetk
Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using a one-pass textbook algorithm.
stdlib-js/stats-base-svariance
Calculate the variance of a single-precision floating-point strided array.
stdlib-js/stats-base-svariancepn
Calculate the variance of a single-precision floating-point strided array using a two-pass algorithm.
stdlib-js/stats-base-svarianceyc
Calculate the variance of a single-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.
stdlib-js/stats-base-variance
Calculate the variance of a strided array.
stdlib-js/stats-base-variancech
Calculate the variance of a strided array using a one-pass trial mean algorithm.
stdlib-js/stats-base-variancetk
Calculate the variance of a strided array using a one-pass textbook algorithm.
stdlib-js/stats-incr-meanvar
Compute an arithmetic mean and unbiased sample variance incrementally.
stdlib-js/stats-incr-mstdev
Compute a moving corrected sample standard deviation incrementally.
stdlib-js/stats-incr-mvariance
Compute a moving unbiased sample variance incrementally.
stdlib-js/stats-incr-mvmr
Compute a moving variance-to-mean ratio (VMR) incrementally.
stdlib-js/stats-incr-stdev
Compute a corrected sample standard deviation incrementally.
stdlib-js/stats-incr-variance
Compute an unbiased sample variance incrementally.
stdlib-js/stats-incr-vmr
Compute a variance-to-mean ratio (VMR) incrementally.
stdlib-js/stats-iter-variance
Compute the unbiased sample variance over all iterated values.
robertovacante/unbiasedness
Unbiasedness of the Sample Variance through a Monte-Carlo simulation.
stdlib-js/stats-base-snanvariancepn
Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using a two-pass algorithm.
stdlib-js/stats-base-snanvariancewd
Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using Welford's algorithm.
stdlib-js/stats-base-snanvarianceyc
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.
stdlib-js/stats-base-svariancech
Calculate the variance of a single-precision floating-point strided array using a one-pass trial mean algorithm.