Found 184 results for deviation

@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.