All Classes and Interfaces

Class
Description
Contains build data of this library.
Contains methods to work with Chi squared distributions.
Defines the error function and methods related to it.
Defines the gamma function, which is a function that extends the concept of factorials from natural to real and complex numbers (except zero and negative integer values).
Generates pseudo-random values following a Gaussian distribution having the specified mMean and standard deviation.
Defines constants for Gauss-Legendre quadrature.
Exception thrown when maximum number of iterations is exceeded.
Contains methods to work with normal (i.e.
Interface to evaluate a one dimensional function at point x and to obtain its derivative at such point.
Parent class of all Randomizers.
Indicates type of Randomizer.
Base exception for com.irurueta.statistics package.
Generates pseudo-random values following a uniform distribution.