Results 251 to 260 of about 7,036,065 (293)
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Integral Probability Metrics and Their Generating Classes of Functions
Advances in Applied Probability, 1997We consider probability metrics of the following type: for a class of functions and probability measures P, Q we define A unified study of such integral probability metrics is given. We characterize the maximal class of functions that generates such a metric. Further, we show how some interesting properties of these probability metrics arise directly
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Algorithms for generating random variables with a rational probability-generating function
International Journal of Computer Mathematics, 2014Two algorithms for generating random variables with a rational probability-generating function are presented. One of them implements the recently developed general range reduction method, and the other is an extension of the alias method designed for generating discrete finite-valued random variables to the case where the generated random variable is ...
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The calculation of the probability of detection and the generalized Marcum Q-function
IEEE Transactions on Information Theory, 1989The probability of detection of N integrated incoherently received signal samples of constant received signal-to-noise ratio, X, with a normalized detection threshold, Y, is presented. Other expressions which are less reliable, and less accurate for \(P_ N(X,Y)\) are discussed.
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Probability generating functions of a MPSD with applications
Series Statistics, 1982In this paper, a general method of obtaining the probability generating function (pgf) of a Modified Power Series distribution (MPSD), introduced by GUPTA (1974), is presented. This method is employed to derive the pgf of generalized negative binomial, generalized Poisson, generalized logarithmic series and the lost game distribution.
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On the Recognition and Structure of Probability Generating Functions
1997If $$ M\left( s \right) = 1 - {e^{ - \pi (s)}} $$ is a probability generating function, the coefficients π j in the MacLaurin expansion π(s) comprise a harmonic renewal sequence. A simple sufficient condition is given which ensures that a non-negative sequence is harmonic renewal. This condition covers the case of the limiting conditional law of
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Jensen-information generating function and its connections to some well-known information measures
Statistics and Probability Letters, 2021Omid Kharazmi
exaly
Physica A: Statistical Mechanics and Its Applications, 2023
Javier E Contreras-Reyes, Omid Kharazmi
exaly
Javier E Contreras-Reyes, Omid Kharazmi
exaly
Information Generating Function of Ranked Set Samples
Entropy, 2021Mostafa Tamandi, Omid Kharazmi
exaly

