JSPM

Binomial distribution variance.

Lognormal distribution variance.

Lognormal distribution standard deviation.

Provides a method to compute a sample standard deviation incrementally.

Provides a method to compute a sample variance incrementally.

Provides a method to compute a moving sample variance incrementally.

Binomial distribution standard deviation.

Computes a moving sample variance over a numeric array.

Provides a method to compute a moving sample standard deviation incrementally.

Computes a moving sample standard deviation over a numeric array.

Weibull distribution variance.

Uniform distribution variance.

Uniform distribution standard deviation.

Exponential distribution variance.

Exponential distribution standard deviation.

Weibull distribution standard deviation.

Compute a moving corrected sample standard deviation incrementally.

Triangular distribution variance.

Triangular distribution standard deviation.

F distribution variance.

F distribution standard deviation.

Compute an arithmetic mean and corrected sample standard deviation incrementally.

Compute a sample Pearson product-moment correlation matrix incrementally.

Compute a moving unbiased sample covariance incrementally.

Compute an unbiased sample covariance matrix incrementally.

Compute a minimum and maximum incrementally.

Compute an unbiased sample covariance incrementally.

Compute a moving range incrementally.

Compute moving minimum and maximum absolute values incrementally.

Compute an exponentially weighted variance incrementally.

Compute a moving arithmetic mean and corrected sample standard deviation incrementally.

Compute a moving unbiased sample variance incrementally.

Compute a moving arithmetic mean and unbiased sample variance incrementally.

Compute an exponentially weighted standard deviation incrementally.

Compute a range incrementally.

Compute a moving minimum and maximum incrementally.

Compute an unbiased sample variance incrementally.

Compute a variance-to-mean ratio (VMR) incrementally.

Calculate the variance of a strided array using a one-pass trial mean algorithm.

Compute a moving coefficient of variation (CV) incrementally.

Compute an arithmetic mean and unbiased sample variance incrementally.

Compute a moving variance-to-mean ratio (VMR) incrementally.

Compute the coefficient of variation (CV) incrementally.

Gamma distribution standard deviation.

Arcsine distribution variance.

Gamma distribution variance.

Hypergeometric distribution standard deviation.

Arcsine distribution standard deviation.

Laplace distribution standard deviation.

Logistic distribution standard deviation.

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

Chi distribution variance.

Geometric distribution standard deviation.

Discrete uniform distribution variance.

Fréchet distribution standard deviation.

Laplace distribution variance.

Logistic distribution variance.

Pareto (Type I) distribution variance.

Raised cosine distribution standard deviation.

Inverse gamma distribution variance.

Hypergeometric distribution variance.

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

Chi distribution standard deviation.

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

Geometric distribution variance.

Fréchet distribution variance.

Gumbel distribution variance.

Beta prime distribution variance.

Raised cosine distribution variance.

Degenerate distribution standard deviation.

Inverse gamma distribution standard deviation.

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

Pareto (Type I) distribution standard deviation.

Lévy distribution standard deviation.

Gumbel distribution standard deviation.

Rayleigh distribution standard deviation.

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

Rayleigh distribution variance.

Kumaraswamy's double bounded distribution variance.

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

Erlang distribution variance.

Degenerate distribution variance.

Beta prime distribution standard deviation.

Erlang distribution standard deviation.

Lévy distribution variance.

Kumaraswamy's double bounded distribution standard deviation.

Calculate the agreement/polarization of ordered rating scales using Cees van der Eijk's (2001) measure of agreement A.

Discrete uniform distribution standard deviation.

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

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

Calculate the range of a strided array according to a mask, ignoring NaN values.

Bernoulli distribution standard deviation.

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

Calculate the variance of a strided array using a one-pass algorithm proposed by Youngs and Cramer.

Bernoulli distribution variance.

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

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

Calculate the variance of a double-precision floating-point strided array provided a known mean and using Neely's correction algorithm.

Calculate the standard deviation of a strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.

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

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

Calculate the variance 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 a one-pass algorithm proposed by Youngs and Cramer.

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

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

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.

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

Compute the corrected sample standard deviation over all iterated values.

Calculate the variance of a double-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.

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

Calculate the variance of a strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.

Calculate the range of a strided array via a callback function.

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 strided array using a one-pass textbook algorithm.

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

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

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

Calculate the range of a strided array according to a mask.

Create an iterator which iteratively computes a cumulative range.

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

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

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

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

Calculate the standard deviation of a double-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.

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.

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

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

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

Calculate the range of a strided array via a callback function, ignoring NaN values.

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

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

Calculate the standard deviation of a single-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.

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

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

Calculate the standard deviation of a strided array using a one-pass textbook algorithm.

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

Calculate the range of a strided array, ignoring NaN values.

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

Calculate the variance of a strided array ignoring NaN values.

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.