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Beta prime distribution

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A Beta Prime Distribution is a probability distribution defined for x>0 with two parameters (of positive real part), α and β, having the probability density function:

[f(x) = \frac (1+x)^}]

where [B] is a Beta function. It is basically the same as the F distribution--if b is distributed as the beta prime distribution Beta'(α,β), then bβ/α obeys the F distribution with 2α and 2β degrees of freedom.

The mode of a variate [X] distributed as [\beta^(\alpha,\beta)] is [\hat = \frac].

If X is a [\beta^(\alpha,\beta)] variate then [\frac] is a [\beta^(\beta,\alpha)] variate.

If X is a [\beta^(\alpha,\beta)] then [\frac] and [\frac] are [\beta^(\beta,\alpha)] and [\beta^(\alpha,\beta)] variates.

If X and Y are [\gamma(\alpha_1)] and [\gamma(\alpha_2)] variates, then [\frac] is a [\beta^(\alpha_1,\alpha_2)] variate.

Reference

[MathWorld article]

Probability distributions  [ view][ talk][ edit] 
Univariate Multivariate
Discrete: BernoullibinomialBoltzmanncompound PoissondegeneratedegreeGauss-Kuzmingeometrichypergeometriclogarithmicnegative binomialparabolic fractalPoissonRademacherSkellamuniformYule-SimonzetaZipfZipf-Mandelbrot Ewensmultinomial
Continuous: BetaBeta primeCauchychi-squareexponentialexponential powerFfadingFisher's zFisher-TippettGammageneralized extreme valuegeneralized hyperbolicgeneralized inverse GaussianHotelling's T-squarehyperbolic secanthyper-exponentialhypoexponentialinverse chi-squareinverse gaussianinverse gammaKumaraswamyLandauLaplaceLévyLévy skew alpha-stablelogisticlog-normalMaxwell-BoltzmannMaxwell speednormal (Gaussian)ParetoPearsonpolarraised cosineRayleighrelativistic Breit-WignerRiceStudent's ttriangulartype-1 Gumbeltype-2 GumbeluniformVoigtvon MisesWeibullWigner semicircle DirichletKentmatrix normalmultivariate normalvon Mises-FisherWigner quasiWishart
Miscellaneous: Cantorconditionalexponential family • infinitely divisible • location-scale familymarginalmaximum entropyphase-typeposteriorpriorquasisampling

 


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