Found 147 results for stdev

@stdlib/stats-incr-cv

Compute the coefficient of variation (CV) incrementally.

@stdlib/stats-base-variancech

Calculate the variance of a strided array using a one-pass trial mean algorithm.

@stdlib/stats-incr-meanvar

Compute an arithmetic mean and unbiased sample variance incrementally.

@stdlib/stats-base-dists-arcsine-stdev

Arcsine distribution standard deviation.

@stdlib/stats-base-dists-gamma-stdev

Gamma distribution standard deviation.

@stdlib/stats-base-dists-logistic-stdev

Logistic distribution standard deviation.

@stdlib/stats-base-dists-hypergeometric-stdev

Hypergeometric distribution standard deviation.

@stdlib/stats-base-dists-frechet-stdev

Fréchet distribution standard deviation.

@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-nanvariancewd

Calculate the variance of a strided array ignoring NaN values and using Welford's algorithm.

@stdlib/stats-base-dists-laplace-stdev

Laplace distribution standard deviation.

@stdlib/stats-base-dists-geometric-stdev

Geometric distribution standard deviation.

@stdlib/stats-base-dists-chi-stdev

Chi distribution standard deviation.

@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-dists-rayleigh-stdev

Rayleigh distribution standard deviation.

@stdlib/stats-base-dmeanstdev

Calculate the mean and standard deviation of a double-precision floating-point strided array.

@stdlib/stats-base-dists-invgamma-stdev

Inverse gamma distribution standard deviation.

@stdlib/stats-base-dists-levy-stdev

Lévy distribution standard deviation.

@stdlib/stats-base-dists-gumbel-stdev

Gumbel distribution standard deviation.

@stdlib/stats-base-dists-degenerate-stdev

Degenerate distribution standard deviation.

@stdlib/stats-base-dists-kumaraswamy-stdev

Kumaraswamy's double bounded distribution standard deviation.

@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-nanvariancepn

Calculate the variance of a strided array ignoring NaN values and using a two-pass 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-dists-cosine-stdev

Raised cosine distribution standard deviation.

@stdlib/stats-base-variancewd

Calculate the variance of a strided array using Welford's algorithm.

@stdlib/stats-base-dists-betaprime-stdev

Beta prime distribution standard deviation.

@stdlib/stats-base-dists-erlang-stdev

Erlang distribution standard deviation.

@stdlib/stats-base-dists-bernoulli-stdev

Bernoulli distribution standard deviation.

@stdlib/stats-base-stdevch

Calculate the standard deviation of a strided array using a one-pass trial mean 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-nanstdevwd

Calculate the standard deviation of a strided array ignoring NaN values and using Welford's algorithm.

@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-svariancetk

Calculate the variance of a single-precision floating-point strided array using a one-pass textbook algorithm.

@stdlib/stats-base-dnanvariance

Calculate the variance of a double-precision floating-point strided array ignoring NaN values.

@stdlib/stats-base-snanvariance

Calculate the variance of a single-precision floating-point strided array ignoring NaN values.

@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-nanstdevch

Calculate the standard deviation of a strided array ignoring NaN values and using a one-pass trial mean algorithm.

@stdlib/stats-base-dsemch

Calculate the standard error of the mean for a double-precision floating-point strided array using a one-pass trial mean 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-dnanvariancepn

Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using a two-pass algorithm.

@stdlib/stats-base-svariancewd

Calculate the variance of a single-precision floating-point strided array using Welford's algorithm.

@stdlib/stats-base-dsemwd

Calculate the standard error of the mean for a double-precision floating-point strided array using Welford's algorithm.

@idrinth-api-bench/chartjs-plugin-stdev-filler

This tiny plugin shows the standardeviation as a colored area around a line chart.

@stdlib/stats-base-sstdevpn

Calculate the standard deviation of a single-precision floating-point strided array using a two-pass 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-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-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-nanstdevpn

Calculate the standard deviation of a strided array ignoring NaN values and using a two-pass 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-dvariancewd

Calculate the variance of a double-precision floating-point strided array using Welford's algorithm.

@stdlib/stats-base-dvarm

Calculate the variance of a double-precision floating-point strided array provided a known mean.

@stdlib/stats-base-stdevwd

Calculate the standard deviation of a strided array using Welford's 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-iter-stdev

Compute the corrected sample standard deviation over all iterated values.

@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-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-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-dsvariance

Calculate the variance of a single-precision floating-point strided array using extended accumulation and returning an extended precision result.

@stdlib/stats-base-variancetk

Calculate the variance of a strided array using a one-pass textbook algorithm.

@stdlib/stats-base-stdevtk

Calculate the standard deviation of a strided array using a one-pass textbook algorithm.

@stdlib/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/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-dnanstdev

Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values.

@stdlib/stats-base-nanvariancech

Calculate the variance of a strided array ignoring NaN values and using a one-pass trial mean 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-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-dvariancetk

Calculate the variance of a double-precision floating-point strided array using a one-pass textbook algorithm.

@stdlib/stats-base-dvariance

Calculate the variance of a double-precision floating-point strided array.

@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-sstdevwd

Calculate the standard deviation of a single-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-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-snanstdevwd

Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using Welford's algorithm.

@stdlib/stats-base-sstdev

Calculate the standard deviation of a single-precision floating-point strided array.

@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-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-nanvariance

Calculate the variance of a strided array ignoring NaN values.

@stdlib/stats-base-snanstdev

Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values.

@stdlib/stats-base-dsem

Calculate the standard error of the mean for a double-precision floating-point strided array.

@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.

statquo

Utility functions for working with statistics.

@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-dvariancepn

Calculate the variance of a double-precision floating-point strided array 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-sstdevch

Calculate the standard deviation of a single-precision floating-point strided array using a one-pass trial mean algorithm.

@stdlib/stats-base-dsemtk

Calculate the standard error of the mean for a double-precision floating-point strided array using a one-pass textbook 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-dnanstdevtk

Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using a one-pass textbook algorithm.

@stdlib/stats-base-svariance

Calculate the variance of a single-precision floating-point strided array.

@stdlib/stats-base-nanstdev

Calculate the standard deviation of a strided array ignoring NaN values.

@stdlib/stats-base-dsemyc

Calculate the standard error of the mean for a double-precision floating-point strided array 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-dsempn

Calculate the standard error of the mean for a double-precision floating-point strided array using a two-pass algorithm.

@stdlib/stats-base-dstdev

Calculate the standard deviation of a double-precision floating-point strided array.

@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-dstdevwd

Calculate the standard deviation of a double-precision floating-point strided array using Welford's 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-dnanvariancewd

Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using Welford's 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-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-snanvariancewd

Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using Welford's algorithm.

@stdlib/stats-base-dmeanvar

Calculate the mean and variance of a double-precision floating-point strided array.

@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-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-iter-variance

Compute the unbiased sample variance over all iterated values.