Search results
207 packages found
Compute a moving arithmetic mean and unbiased sample variance incrementally.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- average
- avg
- mean
- arithmetic mean
- central tendency
- moving mean
- moving average
- variance
- View more
Compute an unbiased sample covariance matrix incrementally.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- covariance
- matrix
- sample covariance
- variance
- unbiased
- var
- dispersion
- standard deviation
- View more
Compute a moving coefficient of variation (CV) incrementally.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- stdev
- std
- variance
- var
- standard
- deviation
- dispersion
- relative
- View more
Compute an arithmetic mean and unbiased sample variance incrementally.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- average
- avg
- mean
- arithmetic mean
- variance
- sample variance
- unbiased
- var
- View more
Compute the corrected sample standard deviation over all iterated values.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- variance
- sample variance
- var
- dispersion
- corrected
- standard deviation
- stdev
- iterator
- View more
Create an iterator which iteratively computes a cumulative range.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- maximum
- max
- minimum
- min
- range
- dispersion
- variance
- domain
- View more
Compute the range of all iterated values.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- maximum
- max
- minimum
- min
- range
- dispersion
- variance
- domain
- View more
Compute the unbiased sample variance over all iterated values.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- variance
- sample variance
- unbiased
- var
- dispersion
- standard deviation
- stdev
- iterator
- View more
Create an iterator which iteratively computes a moving range.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- maximum
- max
- minimum
- min
- range
- dispersion
- variance
- domain
- View more
Computes the covariance between one or more numeric arrays.
- compute.io
- compute
- computation
- mathematics
- math
- statistics
- stats
- variance
- covariance
- sample
- covariance matrix
- cov
- var
- dispersion
- View more
Computes a moving sample standard deviation over a numeric array.
- compute.io
- compute
- computation
- mathematics
- math
- statistics
- stats
- timeseries
- arithmetic
- variance
- sample variance
- stdev
- standard deviation
- sample standard deviation
- View more
Computes a moving sample variance over a numeric array.
- compute.io
- compute
- computation
- mathematics
- math
- statistics
- stats
- timeseries
- arithmetic
- variance
- sample variance
- stdev
- standard deviation
- sample standard deviation
- View more
Provides a method to compute a moving sample standard deviation incrementally.
- compute.io
- compute
- computation
- statistics
- stats
- mathematics
- math
- sample variance
- variance
- dispersion
- moving variance
- sample standard deviation
- standard deviation
- stdev
- View more
Provides a method to compute a moving sample variance incrementally.
- compute.io
- compute
- computation
- statistics
- stats
- mathematics
- math
- sample variance
- variance
- dispersion
- moving variance
- sample standard deviation
- standard deviation
- stdev
- View more
Provides a method to compute a sample variance incrementally.
- compute.io
- compute
- computation
- statistics
- stats
- mathematics
- math
- variance
- sample variance
- var
- dispersion
- standard deviation
- stdev
- central tendency
Provides a method to compute a sample standard deviation incrementally.
- compute.io
- compute
- computation
- statistics
- stats
- mathematics
- math
- variance
- sample variance
- var
- dispersion
- standard deviation
- stdev
- incremental
Computes the interdecile range of an array of values.
- compute.io
- compute
- computation
- mathematics
- math
- interdecile
- range
- idr
- stats
- statistics
- decile
- quantiles
- percentiles
- dispersion
generate approximate solutions to the max-min-dist dispersion problem
Exponential distribution excess kurtosis.
Geometric distribution skewness.