Search results
50 packages found
Rayleigh distribution excess kurtosis.
Pareto (Type I) distribution excess kurtosis.
Arcsine distribution excess kurtosis.
- stdlib
- stdmath
- statistics
- stats
- distribution
- dist
- kurtosis
- excess
- tails
- continuous
- probability
- prob
- arcsine
- univariate
Laplace distribution excess kurtosis.
- stdlib
- stdmath
- statistics
- stats
- distribution
- dist
- continuous
- kurtosis
- tails
- laplace
- double exponential
- location-scale
- exponential family
- univariate
Geometric distribution excess kurtosis.
- stdlib
- stdmath
- statistics
- stats
- distribution
- dist
- parameter
- memoryless
- life-time
- discrete
- kurtosis
- excess
- tails
- geometric
Exponential distribution excess kurtosis.
- stdlib
- stdmath
- statistics
- stats
- distribution
- dist
- exponential
- parameter
- continuous
- excess
- kurtosis
- tails
- univariate
Logistic distribution kurtosis.
Bernoulli distribution excess kurtosis.
- stdlib
- stdmath
- statistics
- stats
- distribution
- dist
- parameter
- discrete
- kurtosis
- excess
- tails
- bernoulli
- binomial
- univariate
Erlang distribution excess kurtosis.
F distribution excess kurtosis.
Raised cosine distribution kurtosis.
Discrete uniform distribution excess kurtosis.
Compute a corrected sample excess kurtosis incrementally.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- kurtosis
- sample kurtosis
- shape
- kurt
- corrected
- incremental
- accumulator
Hypergeometric distribution excess kurtosis.
This repo contains a Typescript client for communicating with the Cloud Indexer API server.
Computes the sample excess kurtosis of an array of values.
This repo contains a Typescript client for communicating with the Kurtosis Engine server, which is responsible for creating and destroying Kurtosis Enclaves.
Reduce stream factory to calculate the sample excess kurtosis of streamed data values.
This repo contains a Typescript client for communicating with the Kurtosis API server, which both testsuites and Kurtosis Modules use to manipulate the test environment.
Statistical moments of ndarrays