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A generalized planck distribution

Test, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Nadarajah, Saralees, Kotz, Samuel
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Generalized binomial distributions

Journal of Mathematical Physics, 2000
The definition, properties, and calculational advantages of the binomial transform representation of a class of finitely enumerated discrete probability distributions that generalize the standard binomial distribution are investigated. Discrete distributions of this type appear in various models of hadron multiparticle production among other physical ...
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A Generalized Suzuki Distribution

Wireless Personal Communications, 2010
Suzuki distribution is a popular model in wireless communications. In this paper, a generalization of it is proposed and two moment estimates derived. The performance of the estimates is assessed by simulation. Finally, applications are discussed for two problems in wireless communications.
Christopher S. Withers   +1 more
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A Generalized Exponential Distribution

Biometrical Journal, 1987
This paper discusses a new generalization of the exponential distribution. The distribution has its basis in the first emptiness time distribution of semi-infinite reservoir model. The distribution has two parameters, the additional parameter is such that both the mean and variance tend to increase with an increase in its value, but the variance ...
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The generalized Boltzmann distribution

Journal of Theoretical Biology, 1973
Abstract The Boltzmann distribution is usually derived for systems in which the total energy is the sum of the energies of the individual molecules. A corresponding derivation may be given in the general case where the form of the energy function is unknown, since only its differential, by nature a linear function, is required.
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Generalized cauchy distributions

Annals of the Institute of Statistical Mathematics, 1957
Statistical distributions of the form C(l + [' x | )~ are considered. For k = 2, m = 1 this is the Cauchy distribution. For k = 2, m == ^(n -\1), % == n~&, it is the Student-Fisher distribution with n degrees of freedom. The Cauchy distribution is of interest because the variance of the mean is infinite while that of the median is finite. In this paper
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On the Distribution of the RSA Generator

1999
Let 19, m and e be integers such that gcd(19, m) = 1. Then one can define the sequence (un) by the recurrence relation $${{u}_{n}} \equiv u_{{n - 1}}^{e}\left( {\,\bmod \,m} \right),0{{u}_{n}}m - 1,n = 1,2,..., $$ (1) with theinitial value \({{u}_{0}} = \nu \).
John B. Friedlander   +2 more
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Flexible Virtual Synchronous Generator Control for Distributed Generator with Adaptive Inertia

Electric Power Components and Systems, 2019
Lie Xu, Jianhui Meng
exaly  

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