Search results
110 packages found
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.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- variance
- var
- deviation
- dispersion
- sample variance
- unbiased
- stdev
- std
- View more
Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using a two-pass algorithm.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- variance
- var
- deviation
- dispersion
- sample standard deviation
- unbiased
- stdev
- std
- View more
Calculate the standard deviation of a strided array ignoring NaN values and using a two-pass algorithm.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- variance
- var
- deviation
- dispersion
- sample standard deviation
- unbiased
- stdev
- std
- View more
Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using a two-pass algorithm.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- variance
- var
- deviation
- dispersion
- sample standard deviation
- unbiased
- stdev
- std
- View more
Calculate the variance of a double-precision floating-point strided array provided a known mean and using Neely's correction algorithm.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- variance
- var
- deviation
- dispersion
- sample variance
- unbiased
- stdev
- std
- View more
Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using a one-pass textbook algorithm.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- variance
- var
- deviation
- dispersion
- sample variance
- unbiased
- stdev
- std
- View more
Calculate the variance of a single-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- variance
- var
- deviation
- dispersion
- sample variance
- unbiased
- stdev
- std
- View more
Calculate the standard deviation of a single-precision floating-point strided array using a two-pass algorithm.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- standard deviation
- variance
- var
- deviation
- dispersion
- spread
- sample standard deviation
- unbiased
- View more
Calculate the standard deviation of a double-precision floating-point strided array using a two-pass algorithm.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- standard deviation
- variance
- var
- deviation
- dispersion
- spread
- sample standard deviation
- unbiased
- View more
Compute a moving arithmetic mean and corrected sample standard deviation incrementally.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- average
- avg
- mean
- arithmetic mean
- central tendency
- moving mean
- moving average
- variance
- View more
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.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- variance
- var
- deviation
- dispersion
- sample variance
- unbiased
- stdev
- std
- View more
Calculate the mean and standard deviation of a double-precision floating-point strided array.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- mean
- arithmetic mean
- average
- avg
- central tendency
- variance
- var
- deviation
- View more
Compute a moving unbiased sample covariance incrementally.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- covariance
- sample covariance
- variance
- unbiased
- var
- deviation
- dispersion
- standard deviation
- View more
Calculate the variance of a single-precision floating-point strided array.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- variance
- var
- deviation
- dispersion
- sample variance
- unbiased
- stdev
- std
- View more
Compute a moving sample absolute Pearson product-moment correlation coefficient incrementally.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- covariance
- sample covariance
- variance
- unbiased
- var
- correlation
- corr
- apcorr
- View more
Compute a squared sample Pearson product-moment correlation coefficient.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- covariance
- sample covariance
- variance
- unbiased
- var
- correlation
- corr
- pearson
- View more
Compute a sample absolute Pearson product-moment correlation coefficient.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- covariance
- sample covariance
- variance
- unbiased
- var
- correlation
- corr
- pearson
- View more
Compute a variance-to-mean ratio (VMR) incrementally.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- variance
- sample variance
- unbiased
- var
- dispersion
- index of dispersion
- fano factor
- dispersion index
- View more
Compute an unbiased sample covariance incrementally.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- covariance
- sample covariance
- variance
- unbiased
- var
- dispersion
- standard deviation
- stdev
- View more
Compute a sample Pearson product-moment correlation matrix incrementally.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- covariance
- matrix
- sample covariance
- variance
- unbiased
- var
- dispersion
- standard deviation
- View more