Package nl.tudelft.simulation.jstats.distributions
package nl.tudelft.simulation.jstats.distributions
This package defines a number of continuous and discrete distributions.
Copyright (c) 2002-2024 Delft University of Technology, Jaffalaan 5, 2628 BX Delft, the Netherlands. All rights reserved. See for project information https://simulation.tudelft.nl. The DSOL project is distributed under a three-clause BSD-style license, which can be found at https://https://simulation.tudelft.nl/dsol/docs/latest/license.html.
- Author:
- Peter Jacobs, Alexander Verbraeck
-
ClassesClassDescriptionThe Distribution class forms the basis for all statistical distributions.The Bernoulli distribution, with p as the probability for success.The Beta distribution.The Binomial distribution.The Constant distribution.The Continuous distribution.The discrete distribution.The Constant distribution.The discrete Uniform distribution.The empirical distribution is a distribution where the information is stored in an EmpiricalDistribution, consisting of pairs of values and cumulative probabilities.A discrete empirical distribution as defined on page 326 of Law & Kelton, based on an EmpiricalDistribution object.The empirical distribution is a distribution where the information is stored in an EmpiricalDistribution, consisting of pairs of values and cumulative probabilities.The Erlang distribution.The Exponential distribution.The Gamma distribution.The Geometric distribution.The LogNormal distribution.The Truncated Lognormal distribution.The Negative Binomial distribution.The Normal distribution.The Normal Truncated distribution.The Pearson5 distribution with a shape parameter α and a scale parameter β.The Pearson6 distribution.The Poisson distribution.The Triangular distribution.The Uniform distribution.The Weibull distribution with a shape parameter α and a scale parameter β.