@stdlib/stats-base-variancepn
Calculate the variance of a strided array using a two-pass algorithm.
@stdlib/stats-base-stdevpn
Calculate the standard deviation of a strided array using a two-pass algorithm.
@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.
samplics
samplics: a Python Package for selecting, weighting and analyzing data from complex sampling designs. - Published in JOSS (2021)
@stdlib/stats-base-nanstdevch
Calculate the standard deviation of a strided array ignoring NaN values and using a one-pass trial mean algorithm.
@stdlib/stats-base-dmeanvarpn
Calculate the mean and variance of a double-precision floating-point strided array using a two-pass algorithm.
@stdlib/stats-base-variancech
Calculate the variance of a strided array using a one-pass trial mean algorithm.
@stdlib/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/stats-base-nanvariancewd
Calculate the variance of a strided array ignoring NaN values and using Welford's algorithm.
@stdlib/stats-base-dvariancepn
Calculate the variance of a double-precision floating-point strided array using a two-pass algorithm.
@stdlib/stats-base-variancetk
Calculate the variance of a strided array using a one-pass textbook algorithm.
@stdlib/stats-base-stdevwd
Calculate the standard deviation of a strided array using Welford's algorithm.
@stdlib/stats-base-dmeanstdevpn
Calculate the mean and standard deviation of a double-precision floating-point strided array using a two-pass algorithm.
@stdlib/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/stats-base-svariancepn
Calculate the variance of a single-precision floating-point strided array using a two-pass algorithm.
@stdlib/stats-base-nanvariancepn
Calculate the variance of a strided array ignoring NaN values and using a two-pass algorithm.
@stdlib/stats-base-nanvariancetk
Calculate the variance of a strided array ignoring NaN values and using a one-pass textbook algorithm.
@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.
@stdlib/stats-base-snanvariancepn
Calculate the variance of a single-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-sstdevtk
Calculate the standard deviation of a single-precision floating-point strided array using a one-pass textbook algorithm.
@stdlib/stats-base-sstdev
Calculate the standard deviation of a single-precision floating-point strided array.
@stdlib/stats-base-stdevtk
Calculate the standard deviation of a strided array 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-nanstdevtk
Calculate the standard deviation of a strided array ignoring NaN values and using a one-pass textbook algorithm.
@stdlib/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/stats-base-dvariancetk
Calculate the variance of a double-precision floating-point strided array using a one-pass textbook algorithm.
@stdlib/stats-base-snanstdevpn
Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using a two-pass algorithm.
@stdlib/stats-base-stdevch
Calculate the standard deviation of a strided array using a one-pass trial mean algorithm.
@stdlib/stats-base-varianceyc
Calculate the variance of a strided array using a one-pass algorithm proposed by Youngs and Cramer.
@stdlib/stats-base-nanstdevpn
Calculate the standard deviation of a strided array ignoring NaN values and using a two-pass algorithm.
@stdlib/stats-base-sstdevpn
Calculate the standard deviation of a single-precision floating-point strided array using a two-pass algorithm.
@stdlib/stats-base-dstdevyc
Calculate the standard deviation of a double-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.
@stdlib/stats-base-variancewd
Calculate the variance of a strided array using Welford's algorithm.
@stdlib/stats-base-snanstdevtk
Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using a one-pass textbook algorithm.
@stdlib/stats-base-dvarianceyc
Calculate the variance of a double-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.
@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-svarianceyc
Calculate the variance of a single-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.
@stdlib/stats-base-dstdevpn
Calculate the standard deviation of a double-precision floating-point strided array using a two-pass 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-sstdevch
Calculate the standard deviation of a single-precision floating-point strided array using a one-pass trial mean algorithm.
@stdlib/stats-base-svariancewd
Calculate the variance of a single-precision floating-point strided array using Welford's algorithm.
@stdlib/stats-base-dvariancech
Calculate the variance of a double-precision floating-point strided array using a one-pass trial mean algorithm.
@stdlib/stats-base-dnanstdevch
Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.
@stdlib/stats-base-svariancech
Calculate the variance of a single-precision floating-point strided array using a one-pass trial mean algorithm.
@stdlib/stats-base-dstdevwd
Calculate the standard deviation of a double-precision floating-point strided array using Welford's algorithm.
@stdlib/stats-base-stdevyc
Calculate the standard deviation of a strided array using a one-pass algorithm proposed by Youngs and Cramer.
@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-sstdevyc
Calculate the standard deviation of a single-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.
@stdlib/stats-base-snanstdevch
Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.
@stdlib/stats-base-dnanstdevwd
Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using Welford's algorithm.
@stdlib/stats-base-dnanstdevpn
Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using a two-pass algorithm.
@stdlib/stats-base-dsvariancepn
Calculate the variance of a single-precision floating-point strided array using a two-pass algorithm with extended accumulation and returning an extended precision result.
@stdlib/stats-base-nanstdevyc
Calculate the standard deviation of a strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.
@stdlib/stats-base-snanstdevyc
Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.
@stdlib/stats-base-sstdevwd
Calculate the standard deviation of a single-precision floating-point strided array using Welford's algorithm.
@stdlib/stats-base-snanstdevwd
Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using Welford's algorithm.
@stdlib/stats-base-svariancetk
Calculate the variance of a single-precision floating-point strided array using a one-pass textbook algorithm.
@stdlib/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/stats-base-dnanstdevtk
Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using a one-pass textbook algorithm.
stats-base-nanvariancech
Calculate the variance of a strided array ignoring NaN values and using a one-pass trial mean algorithm.
stats-base-nanstdevwd
Calculate the standard deviation of a strided array ignoring NaN values and using Welford's algorithm.
stats-base-dvariancewd
Calculate the variance of a double-precision floating-point strided array using Welford's algorithm.
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.
stats-base-snanvariancewd
Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using Welford's algorithm.
@stdlib/stats-base-dists-negative-binomial-variance
Negative binomial distribution variance.
@stdlib/stats-incr-stdev
Compute a corrected sample standard deviation incrementally.
@stdlib/stats-base-dists-exponential-variance
Exponential distribution variance.
@stdlib/stats-incr-mstdev
Compute a moving corrected sample standard deviation incrementally.
@stdlib/stats-base-svariance
Calculate the variance of a single-precision floating-point strided array.
@stdlib/stats-incr-mapcorr
Compute a moving sample absolute Pearson product-moment correlation coefficient incrementally.
@stdlib/stats-incr-covmat
Compute an unbiased sample covariance matrix incrementally.
@stdlib/stats-incr-covariance
Compute an unbiased sample covariance incrementally.
stats-incr-pcorr
Compute a sample Pearson product-moment correlation coefficient.
@stdlib/stats-incr-meanvar
Compute an arithmetic mean and unbiased sample variance incrementally.
@stdlib/stats-incr-apcorr
Compute a sample absolute Pearson product-moment correlation coefficient.
@stdlib/stats-incr-mvariance
Compute a moving unbiased sample variance incrementally.
@stdlib/stats-incr-pcorrmat
Compute a sample Pearson product-moment correlation matrix incrementally.
@stdlib/stats-incr-ewstdev
Compute an exponentially weighted standard deviation incrementally.
@stdlib/stats-incr-mvmr
Compute a moving variance-to-mean ratio (VMR) incrementally.
@stdlib/stats-incr-mminmaxabs
Compute moving minimum and maximum absolute values incrementally.
@stdlib/stats-base-nanvariance
Calculate the variance of a strided array ignoring NaN values.