@Override public ParetoDistribution clone() { return (ParetoDistribution) super.clone(); }
@Override public CauchyDistribution clone() { CauchyDistribution clone = (CauchyDistribution) super.clone(); return clone; }
@Override public BetaDistribution clone() { return (BetaDistribution) super.clone(); }
@Override public UniformDistribution clone() { return (UniformDistribution) super.clone(); }
@Override public LogisticDistribution clone() { return (LogisticDistribution) super.clone(); }
@Override public GammaDistribution clone() { return (GammaDistribution) super.clone(); }
@Override public BetaDistribution clone() { return (BetaDistribution) super.clone(); }
@Override public UnivariateGaussian clone() { return (UnivariateGaussian) super.clone(); }
@Override public ExponentialDistribution clone() { return (ExponentialDistribution) super.clone(); }
@Override public ChiSquareDistribution clone() { return (ChiSquareDistribution) super.clone(); }
@Override public StudentTDistribution clone() { return (StudentTDistribution) super.clone(); }
@Override public StudentTDistribution clone() { return (StudentTDistribution) super.clone(); }
@Override public UniformDistribution clone() { return (UniformDistribution) super.clone(); }
@Override public StudentTDistribution clone() { return (StudentTDistribution) super.clone(); }
@Override public LaplaceDistribution clone() { return (LaplaceDistribution) super.clone(); }
@Override public CauchyDistribution clone() { CauchyDistribution clone = (CauchyDistribution) super.clone(); return clone; }
@Override public LogisticDistribution clone() { return (LogisticDistribution) super.clone(); }
@Override public ParetoDistribution clone() { return (ParetoDistribution) super.clone(); }
@Override public UnivariateGaussian clone() { return (UnivariateGaussian) super.clone(); }
@Override public UniformDistribution clone() { return (UniformDistribution) super.clone(); }