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Gauss-Kuzmin distribution

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In mathematics, the Gauss-Kuzmin distribution gives the probability distribution of the occurrence of a given integer in the continued fraction expansion of an arbitrary real number. The distribution is named after Carl Friedrich Gauss, who first conjectured and studied the distribution around 1800, and R. O. Kuz'min, who, in 1928, along with Paul Lévy, in 1929, was able to prove Gauss's conjecture. Later, K. Ivan Babenko and Eduard Wirsing completely solved the problem, and were able to show that the speed of convergence of the continued fraction digits to the limiting distribution was exponential.

The probability that the nth term [a_n] in a continued fraction expansion is equal to k is given by

[\Pr(a_n=k)=-\log_2\left[ 1-fracright].]

See also

References

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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