Calculate the variance of a strided array ignoring NaN values and using Welford's algorithm.
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Updated
Nov 1, 2024 - JavaScript
Calculate the variance of a strided array ignoring NaN values and using Welford's algorithm.
Compute a moving variance-to-mean ratio (VMR) incrementally.
Calculate the variance of a single-precision floating-point strided array using a two-pass algorithm.
Calculate the variance of a strided array.
Calculate the variance of a double-precision floating-point strided array using a two-pass algorithm.
Compute the unbiased sample variance over all iterated values.
Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.
Compute a moving corrected sample standard deviation incrementally.
Calculate the variance of a strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.
Calculate the variance of a single-precision floating-point strided array ignoring NaN values.
Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using Welford's algorithm.
Compute an arithmetic mean and unbiased sample variance incrementally.
Calculate the variance of a double-precision floating-point strided array provided a known mean and using Neely's correction algorithm.
Calculate the variance of a double-precision floating-point strided array using Welford's algorithm.
Calculate the variance of a strided array using a one-pass trial mean algorithm.
Calculate the variance of a single-precision floating-point strided array using extended accumulation and returning an extended precision result.
Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.
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.
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 ignoring NaN values and using a one-pass textbook algorithm.
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