Classes
class	umontreal.ssj.probdist.BetaDist
	Extends the class ContinuousDistribution for the beta distribution. More...

class	umontreal.ssj.probdist.BetaSymmetricalDist
	Specializes the class BetaDist to the case of a symmetrical beta distribution over the interval \([0,1]\), with shape parameters. More...

class	umontreal.ssj.probdist.CauchyDist
	Extends the class ContinuousDistribution for the Cauchy distribution [95] (page 299) with location parameter. More...

class	umontreal.ssj.probdist.ChiDist
	Extends the class ContinuousDistribution for the chi distribution. More...

class	umontreal.ssj.probdist.ChiSquareDist
	Extends the class ContinuousDistribution for the chi-square distribution with \(n\) degrees of freedom, where \(n\) is a positive integer [95] (page 416). More...

class	umontreal.ssj.probdist.ChiSquareDistQuick
	Provides a variant of ChiSquareDist with faster but less accurate methods. More...

class	umontreal.ssj.probdist.ChiSquareNoncentralDist
	Extends the class ContinuousDistribution for the noncentral chi-square distribution with \(\nu\) degrees of freedom and noncentrality parameter \(\lambda\), where \(\nu> 0\) and. More...

class	umontreal.ssj.probdist.ErlangDist
	Extends the class GammaDist for the special case of the Erlang distribution with shape parameter \(k > 0\) and scale parameter. More...

class	umontreal.ssj.probdist.ExponentialDist
	Extends the class ContinuousDistribution for the exponential distribution [95] (page 494) with mean \(1/\lambda\) where \(\lambda> 0\) is the rate parameter. More...

class	umontreal.ssj.probdist.ExponentialDistFromMean
	Extends the ExponentialDist class with a constructor accepting as argument the mean \(1/\lambda\) instead of the rate \(\lambda\). More...

class	umontreal.ssj.probdist.ExtremeValueDist
	This class has been replaced by GumbelDist . More...

class	umontreal.ssj.probdist.FatigueLifeDist
	Extends the class ContinuousDistribution for the fatigue life distribution [19] with location parameter \(\mu\), scale parameter \(\beta\) and shape parameter \(\gamma\). More...

class	umontreal.ssj.probdist.FisherFDist
	Extends the class ContinuousDistribution for the Fisher F distribution with \(n_1\) and \(n_2\) degrees of freedom, where. More...

class	umontreal.ssj.probdist.FoldedNormalDist
	Extends the class ContinuousDistribution for the folded normal distribution with parameters \(\mu\ge0\) and \(\sigma> 0\). More...

class	umontreal.ssj.probdist.FrechetDist
	Extends the class ContinuousDistribution for the Fréchet distribution [96] (page 3), with location parameter. More...

class	umontreal.ssj.probdist.GammaDist
	Extends the class ContinuousDistribution for the gamma distribution [95] (page 337) with shape parameter. More...

class	umontreal.ssj.probdist.GammaDistFromMoments
	Extends the GammaDist distribution with constructors accepting the mean \(\mu\) and variance \(\sigma^2\) as arguments instead of a shape parameter \(\alpha\) and a rate parameter \(\lambda\). More...

class	umontreal.ssj.probdist.GumbelDist
	Extends the class ContinuousDistribution for the Gumbel distribution [96] (page 2), with location parameter. More...

class	umontreal.ssj.probdist.HalfNormalDist
	Extends the class ContinuousDistribution for the half-normal distribution with parameters \(\mu\) and \(\sigma> 0\). More...

class	umontreal.ssj.probdist.HyperbolicSecantDist
	Extends the class ContinuousDistribution for the hyperbolic secant distribution with location parameter \(\mu\) and scale parameter. More...

class	umontreal.ssj.probdist.HypoExponentialDist
	This class implements the hypoexponential distribution, also called the generalized Erlang distribution. More...

class	umontreal.ssj.probdist.HypoExponentialDistEqual
	This class implements the hypoexponential distribution for the case of equidistant \(\lambda_i = (n+1-i)h\). More...

class	umontreal.ssj.probdist.HypoExponentialDistQuick
	This class is a subclass of HypoExponentialDist and also implements the hypoexponential distribution. More...

class	umontreal.ssj.probdist.InverseGammaDist
	Extends the class ContinuousDistribution for the inverse gamma distribution with shape parameter \(\alpha> 0\) and scale parameter. More...

class	umontreal.ssj.probdist.InverseGaussianDist
	Extends the class ContinuousDistribution for the inverse Gaussian distribution with location parameter \(\mu> 0\) and scale parameter. More...

class	umontreal.ssj.probdist.JohnsonSBDist
	Extends the class ContinuousDistribution for the Johnson. More...

class	umontreal.ssj.probdist.JohnsonSLDist
	Extends the class ContinuousDistribution for the Johnson. More...

class	umontreal.ssj.probdist.JohnsonSUDist
	Extends the class ContinuousDistribution for the Johnson. More...

class	umontreal.ssj.probdist.JohnsonSystem
	This class contains common parameters and methods for the Johnson system of distributions [97], [95] with shape parameters \(\gamma\) and \(\delta> 0\), location parameter. More...

class	umontreal.ssj.probdist.LaplaceDist
	Extends the class ContinuousDistribution for the Laplace distribution (see, e.g., [96] (page 165)). More...

class	umontreal.ssj.probdist.LogisticDist
	Extends the class ContinuousDistribution for the logistic distribution (e.g., [96] (page 115)). More...

class	umontreal.ssj.probdist.LoglogisticDist
	Extends the class ContinuousDistribution for the Log-Logistic distribution with shape parameter \(\alpha> 0\) and scale parameter. More...

class	umontreal.ssj.probdist.LognormalDist
	Extends the class ContinuousDistribution for the lognormal distribution [95] . More...

class	umontreal.ssj.probdist.LognormalDistFromMoments
	Extends the LognormalDist class with a constructor accepting the mean \(m\) and the variance \(v\) of the distribution as arguments. More...

class	umontreal.ssj.probdist.NakagamiDist
	Extends the class ContinuousDistribution for the Nakagami distribution with location parameter \(a\), scale parameter \(\lambda> 0\) and shape parameter \(c > 0\). More...

class	umontreal.ssj.probdist.NormalDist
	Extends the class ContinuousDistribution for the normal distribution (e.g., [95] (page 80)). More...

class	umontreal.ssj.probdist.NormalDistQuick
	A variant of the class NormalDist (for the normal distribution with mean \(\mu\) and variance \(\sigma^2\)). More...

class	umontreal.ssj.probdist.NormalInverseGaussianDist
	Extends the class ContinuousDistribution for the normal inverse gaussian distribution with location parameter \(\mu\), scale parameter. More...

class	umontreal.ssj.probdist.ParetoDist
	Extends the class ContinuousDistribution for a distribution from the Pareto family, with shape parameter \(\alpha> 0\) and location parameter \(\beta> 0\) [95] (page 574). More...

class	umontreal.ssj.probdist.Pearson5Dist
	THIS CLASS HAS BEEN RENAMED InverseGammaDist . More...

class	umontreal.ssj.probdist.Pearson6Dist
	Extends the class ContinuousDistribution for the Pearson type VI distribution with shape parameters \(\alpha_1 > 0\) and \(\alpha_2 > 0\), and scale parameter \(\beta> 0\). More...

class	umontreal.ssj.probdist.PiecewiseLinearEmpiricalDist
	Extends the class ContinuousDistribution for a piecewise-linear approximation of the empirical distribution function, based on the observations \(X_{(1)},…,X_{(n)}\) (sorted by increasing order), and defined as follows (e.g., [114] (page 318)). More...

class	umontreal.ssj.probdist.PowerDist
	Extends the class ContinuousDistribution for the power distribution [56] (page 161) with shape parameter \(c > 0\), over the interval \([a,b]\), where \(a < b\). More...

class	umontreal.ssj.probdist.RayleighDist
	This class extends the class ContinuousDistribution for the Rayleigh distribution [56] with location parameter. More...

class	umontreal.ssj.probdist.StudentDist
	Extends the class ContinuousDistribution for the Student More...

class	umontreal.ssj.probdist.StudentDistQuick
	Extends the class StudentDist for the Student More...

class	umontreal.ssj.probdist.TriangularDist
	Extends the class ContinuousDistribution for the triangular distribution (see [96] (page 297) and. More...

class	umontreal.ssj.probdist.TruncatedDist
	This container class takes an arbitrary continuous distribution and truncates it to an interval \([a,b]\), where \(a\) and \(b\) can be finite or infinite. More...

class	umontreal.ssj.probdist.UniformDist
	Extends the class ContinuousDistribution for the uniform distribution [96] (page 276) over the interval. More...

class	umontreal.ssj.probdist.WeibullDist
	This class extends the class ContinuousDistribution for the Weibull distribution [95] (page 628) with shape parameter \(\alpha> 0\), location parameter \(\delta\), and scale parameter \(\lambda> 0\). More...

Classes

Detailed Description