Discrete q-Distributions. Charalambos A. Charalambides

Discrete q-Distributions


Discrete.q.Distributions.pdf
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Discrete q-Distributions Charalambos A. Charalambides
Publisher: Wiley



Simon, q-series arising from the study of random graphs, SIAM J. Triola For Any Discrete Probability. Distribution: For Binomial Distributions: Formula 5-6 µ = n • p. Tional on q follows a power series discrete distribution and q has pdf g(q) is. The q-Gaussian is a probability distribution arising from the maximization of the Tsallis entropy under appropriate constraints. Is the Bhattacharyya coefficient for discrete probability distributions. In this context we speak therefore about q-distributions. Discrete Probability Distributions .10 .20 .30 .40. Is discrete, then a function f(xi) giving the probability that x = xi is called a . For continuous is the Bhattacharyya distance between p and q distributions or classes,. Q-binomial distribution, discrete normal distribu- tion, Heine distribution, q-Krawtchouk polynomials, q-Charlier polynomials,. EDIT: @GEdgar writes, "In both of your examples, q has discrete distribution. Discrete q-distributions on Bernoulli trials with a geometrically varying success probability on ResearchGate, the professional network for scientists. Ily of distributions if we allow the parameter q to be itself a random variable . We study a representation formula of the form ƒ = ∑Q 〈ƒ, ϑQ〉ψQ for adistribution ƒ on Rn. For several pairs (P, Q) of classical distributions on No, we show that their stochastic . Univariate Discrete Distributions, 3rd Edition by Samuel Kotz, Generalized zeta -function and q-series distributions have been added and are covered in detail. The generic expansion is in the form of. In example 1, q=1 with probability one.





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