Package-level declarations
Types
Resulting value of kolmogorov-smirnov two-sample statistic
Non-composable median
Implements UniformRandomProvider by delegating all operations to RandomGenerator.
Implements RandomGenerator by delegating all operations to RandomSource.
Rank statistics
A combination of a random value and its dispersion.
An algebra for double value + its error combination. The multiplication assumes linear error propagation
Functions
Represent this RandomGenerator as commons-rng UniformRandomProvider preserving and mirroring its current state. Getting new value from one of those changes the state of another.
Generate a chi squared expression from given x-y-sigma data and inline model. Provides automatic differentiation.
Compute empirical CDF function
Perform a streaming statistical analysis on a chunked data. The computation of inner representation is done in parallel if dispatcher allows it.
Returns RandomSourceGenerator with given RandomSource and seed.
Kolmogorov-Smirnov sample comparison test Implementation copied from https://commons.apache.org/proper/commons-math/javadocs/api-3.6.1/index.html?org/apache/commons/math3/stat/inference/KolmogorovSmirnovTest.html
Returns RandomSourceGenerator with RandomSource.MT algorithm and given seed.
Generates size real samples and chunks them into some buffers.
Generates size integer samples and chunks them into some buffers.
Sample a bunch of values