@stdlib/stats-base-dvarmpn
Calculate the variance of a double-precision floating-point strided array provided a known mean and using Neely's correction algorithm.
0.2.2 • Published 12 months ago
Deviation Packages
@stdlib/stats-base-dvarmtk
Calculate the variance of a double-precision floating-point strided array provided a known mean and using a one-pass textbook algorithm.
@stdlib/stats-base-dnanstdevyc
Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.
@stdlib/stats-base-dnanvariance
Calculate the variance of a double-precision floating-point strided array ignoring NaN values.
@stdlib/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/stats-base-dnanvariancepn
Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using a two-pass algorithm.
@stdlib/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/stats-base-dnanvariancewd
Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using Welford's algorithm.
@stdlib/stats-base-dstdev
Calculate the standard deviation of a double-precision floating-point strided array.
@stdlib/stats-base-dstdevch
Calculate the standard deviation of a double-precision floating-point strided array using a one-pass trial mean algorithm.
@stdlib/stats-base-dstdevtk
Calculate the standard deviation of a double-precision floating-point strided array using a one-pass textbook algorithm.
@stdlib/stats-base-dstdevwd
Calculate the standard deviation of a double-precision floating-point strided array using Welford's algorithm.
@stdlib/stats-base-dstdevpn
Calculate the standard deviation of a double-precision floating-point strided array using a two-pass algorithm.
@stdlib/stats-incr-mpe
Compute the mean percentage error (MPE) incrementally.
@stdlib/stats-incr-mrmse
Compute a moving root mean squared error (RMSE) incrementally.
@stdlib/stats-incr-mrss
Compute a moving residual sum of squares (RSS) incrementally.
@stdlib/stats-incr-mmse
Compute a moving mean squared error (MSE) incrementally.
@stdlib/stats-incr-mvariance
Compute a moving unbiased sample variance incrementally.
@stdlib/stats-incr-mmeanstdev
Compute a moving arithmetic mean and corrected sample standard deviation incrementally.
@stdlib/stats-incr-mmeanvar
Compute a moving arithmetic mean and unbiased sample variance incrementally.