The inverse cumulative distribution functions return the values at which their respective CDFs attain a given level. This value is typically used in hypothesis testing as a critical value.

There are very few functions for which the inverse CDF can be written in closed form. In most situations the inverse is computed numerically from the CDF.

FunctionDistribution
StatsInvBetaCDFBeta
StatsInvBinomialCDFBinomial
StatsInvCauchyCDFCauchy
StatsInvChiCDFChi-squared
StatsInvCMSSDCDFC (mean square successive difference)
StatsInvDExpCDFDouble-exponential
StatsInvEValueCDFExtreme-value (type I Gumble)
StatsInvExpCDFExponential
StatsInvFCDFF
StatsInvFriedmanCDFFriedman
StatsInvGammaCDFGamma
StatsInvGeometricCDFGeometric
StatsInvKuiperCDFKuiper
StatsInvLogisticCDFLogistic
StatsInvLogNormalCDFLognormal
StatsInvMaxwellCDFMaxwell
StatsInvMooreCDFMoore
StatsInvNBinomialCDFNegative-binomial
StatsInvNCFCDFNon-central F
StatsInvNormalCDFNormal (Gaussian)
StatsInvParetoCDFPareto
StatsInvPoissonCDFPoisson
StatsInvPowerCDFPower
StatsInvQCDFQ
StatsInvQpCDFModified Q
StatsInvRayleighCDFRayleigh
StatsInvRectangularCDFUniform
StatsInvSpearmanCDFSpearman rho
StatsInvStudentCDFStudent-T
StatsInvTopDownCDFTop Down
StatsInvTriangularCDFTriangular
StatsInvUSquaredCDFWatson's U-squared
StatsInvVonMisesCDFvon Mises
StatsInvWeibullCDFWeibull

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