Found 184 results for deviation

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

Gumbel distribution standard deviation.

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

Rayleigh distribution standard deviation.

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

Degenerate distribution standard deviation.

@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-betaprime-stdev

Beta prime distribution standard deviation.

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

Erlang distribution standard deviation.

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

Kumaraswamy's double bounded distribution standard deviation.

@stdlib/stats-base-dists-discrete-uniform-stdev

Discrete uniform distribution standard deviation.

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

Degenerate distribution variance.

@stdlib/stats-base-nanvariancewd

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

@stdlib/stats-base-nanstdevwd

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

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

Bernoulli distribution variance.

@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-dists-bernoulli-stdev

Bernoulli distribution standard deviation.

@stdlib/stats-base-variancewd

Calculate the variance of a strided array using Welford's 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-nanstdevpn

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

@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-svariancewd

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

@stdlib/stats-base-dvariancewd

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

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

@stdlib/stats-base-dvarm

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

@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-dnanstdevwd

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

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

@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-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-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-dvariance

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

@stdlib/stats-base-dnanvariancepn

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

@itentialopensource/aggregate-functions-for-arrays

[Deprecated] Performs mathematical aggregations on an array of numbers

@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-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-dnanstdev

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

@stdlib/stats-base-dnanvariance

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

@stdlib/stats-base-stdevtk

Calculate the standard deviation of a strided array 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-snanstdevwd

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

Calculate the standard deviation of a single-precision floating-point strided array using a one-pass textbook 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-nanstdevtk

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

@stdlib/stats-base-nanvariance

Calculate the variance of a strided array ignoring NaN values.

@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-nanstdev

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

@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-snanstdev

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

@stdlib/stats-base-nanvariancetk

Calculate the variance of a strided array ignoring NaN values and using a one-pass textbook 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-dvariancepn

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

@stdlib/stats-base-snanvariance

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

node-red-contrib-gpu

Node-RED GPU functions

normal-pdf

Get gaussian density at a point

@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-dstdev

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

@stdlib/stats-base-svariancepn

Calculate the variance of a single-precision floating-point strided array using a two-pass 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-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-svariancetk

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

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

@stdlib/stats-base-dstdevwd

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

@stdlib/stats-base-sstdev

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

@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-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-dnanvariancech

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

grade-math

A bundle of commonly used math functions for grading applications, including Standard Deviation, Normal Y, Mean, and Z-Score.

@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-svariancech

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

deviationdetective

Have two geojson lines? Yes? Good! Use this tool to find differences between the two.

deviation

A DI System for React

stdev-js

A tiny node module to calculate Standard Deviation from a given array dataset

adoperaza7.java

Oolong, developed in JavaScript for Phase 2, offers efficient mean calculations for web applications and databases.

adosinarath2.generator

Enhances mean calculation efficiency in Oolong Phase 3, providing accelerated processes for random number analysis.

inryeesprob

Enhances mean calculation efficiency in Oolong Phase 3, providing accelerated processes for random number analysis.

brymer4-dev-version

The beta Tea testnet offers insightful trend analysis through tracking totals and averages of randomly selected numbers.

celynette8_calculate

The beta Tea testnet offers insightful trend analysis through tracking totals and averages of randomly selected numbers.

nemalen4-algebra

The beta Tea testnet offers insightful trend analysis through tracking totals and averages of randomly selected numbers.

eecress3-compute

Oolong, developed in JavaScript for Phase 2, offers efficient mean calculations for web applications and databases.

ieemler7-balance

The beta Tea testnet offers insightful trend analysis through tracking totals and averages of randomly selected numbers.

sdeviate

standard deviation

nolehamdn1.weights

Oolong, developed in JavaScript for Phase 2, offers efficient mean calculations for web applications and databases.

fmstats

Decriptive Statistics

ktirabassi7-oss

Oolong, developed in JavaScript for Phase 2, offers efficient mean calculations for web applications and databases.

neioana2_derivatives

Enhances mean calculation efficiency in Oolong Phase 3, providing accelerated processes for random number analysis.

zzischuck8-measurement

Enhances mean calculation efficiency in Oolong Phase 3, providing accelerated processes for random number analysis.

lethur4.python

The beta Tea testnet offers insightful trend analysis through tracking totals and averages of randomly selected numbers.