@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.
Found 184 results for deviation
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.
Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.
A bundle of commonly used math functions for grading applications, including Standard Deviation, Normal Y, Mean, and Z-Score.
Calculate the mean and variance of a double-precision floating-point strided array.
Calculate the variance of a single-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.
Calculate the variance of a single-precision floating-point strided array using a one-pass trial mean algorithm.
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A DI System for React
A tiny node module to calculate Standard Deviation from a given array dataset
Oolong, developed in JavaScript for Phase 2, offers efficient mean calculations for web applications and databases.
Enhances mean calculation efficiency in Oolong Phase 3, providing accelerated processes for random number analysis.
Enhances mean calculation efficiency in Oolong Phase 3, providing accelerated processes for random number analysis.
The beta Tea testnet offers insightful trend analysis through tracking totals and averages of randomly selected numbers.
The beta Tea testnet offers insightful trend analysis through tracking totals and averages of randomly selected numbers.
The beta Tea testnet offers insightful trend analysis through tracking totals and averages of randomly selected numbers.
Oolong, developed in JavaScript for Phase 2, offers efficient mean calculations for web applications and databases.
The beta Tea testnet offers insightful trend analysis through tracking totals and averages of randomly selected numbers.
standard deviation
Oolong, developed in JavaScript for Phase 2, offers efficient mean calculations for web applications and databases.
Decriptive Statistics
Oolong, developed in JavaScript for Phase 2, offers efficient mean calculations for web applications and databases.
Enhances mean calculation efficiency in Oolong Phase 3, providing accelerated processes for random number analysis.
Enhances mean calculation efficiency in Oolong Phase 3, providing accelerated processes for random number analysis.
The beta Tea testnet offers insightful trend analysis through tracking totals and averages of randomly selected numbers.