@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.
Found 208 results for dispersion
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.
Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.
Calculate the range of a single-precision floating-point strided array according to a mask, ignoring NaN values.
Calculate the standard deviation of a strided array ignoring NaN values.
Calculate the standard deviation of a strided array ignoring NaN values and using a one-pass textbook algorithm.
Calculate the variance of a double-precision floating-point strided array using a two-pass algorithm.
Calculate the standard deviation of a single-precision floating-point strided array using a one-pass trial mean algorithm.
Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values.
Calculate the variance of a strided array ignoring NaN values and using a one-pass textbook algorithm.
Calculate the variance of a single-precision floating-point strided array ignoring NaN values.
Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using a one-pass textbook algorithm.
Create an iterator which iteratively computes a moving range.
Calculate the variance of a single-precision floating-point strided array.
Calculate the standard deviation of a single-precision floating-point strided array using a two-pass algorithm.
Calculate the standard deviation of a double-precision floating-point strided array.
Calculate the variance of a double-precision floating-point strided array provided a known mean and using a one-pass textbook algorithm.
Calculate the variance of a single-precision floating-point strided array using a two-pass algorithm.
Calculate the variance of a single-precision floating-point strided array using a one-pass textbook algorithm.
Calculate the standard deviation of a 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 trial mean algorithm.
generate approximate solutions to the max-min-dist dispersion problem
Calculate the standard deviation of a double-precision floating-point strided array using Welford's algorithm.
Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using Welford's algorithm.
Calculate the range of a double-precision floating-point strided array according to a mask, ignoring NaN values.
Calculate the standard deviation of a single-precision floating-point strided array.
Calculate the range of a double-precision floating-point strided array according to a mask.
Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using Welford's algorithm.
Calculate the standard deviation of a double-precision floating-point strided array using a one-pass textbook algorithm.
Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using a one-pass textbook algorithm.
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 range of a single-precision floating-point strided array according to a mask.
Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.
Calculate the range of a single-precision floating-point strided array, ignoring NaN values.
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.
Calculate the range of a double-precision floating-point strided array, ignoring NaN values.
Geometric distribution excess kurtosis.
Compute the unbiased sample variance over all iterated values.
Santi's Statistics Library
Compute the range of all iterated values.
Poisson distribution excess kurtosis.
Exponential distribution skewness.
Exponential distribution excess kurtosis.
Rayleigh distribution skewness.
Geometric distribution skewness.
Rayleigh distribution excess kurtosis.
Generate descriptive statistics.