Package jsl.utilities.distributions

Interface DistributionIfc

All Superinterfaces:

CDFIfc, DistributionFunctionIfc, GetRVariableIfc, InverseCDFIfc, MeanIfc, NewInstanceIfc, ParametersIfc, VarianceIfc

All Known Implementing Classes:

Bernoulli, Beta, Binomial, Constant, DEmpiricalCDF, Distribution, DUniform, Exponential, Gamma, Geometric, LogLogistic, Lognormal, MTP, NegativeBinomial, Normal, PearsonType5, PearsonType6, Poisson, ShiftedDistribution, ShiftedGeometric, ShiftedLossFunctionDistribution, StudentT, Triangular, TruncatedDistribution, Uniform, VConstant, Weibull

public interface DistributionIfc
extends DistributionFunctionIfc, NewInstanceIfc, ParametersIfc, GetRVariableIfc

Represents the basic interface that all probability distributions must implement.

Method Summary

Methods inherited from interface jsl.utilities.distributions.CDFIfc

cdf, cdf, complementaryCDF

Methods inherited from interface jsl.utilities.random.rvariable.GetRVariableIfc

getRandomVariable, getRandomVariable, getRandomVariable

Methods inherited from interface jsl.utilities.distributions.InverseCDFIfc

invCDF

Methods inherited from interface jsl.utilities.distributions.MeanIfc

getMean

Methods inherited from interface jsl.utilities.NewInstanceIfc

newInstance

Methods inherited from interface jsl.utilities.random.ParametersIfc

getParameters, setParameters

Methods inherited from interface jsl.utilities.distributions.VarianceIfc

getStandardDeviation, getVariance