Results 161 to 170 of about 260,625 (203)

A new characterization of geometric distribution [PDF]

open access: yesKybernetika, 2007
Summary: A characterization of geometric distributions is given, which is based on the ratio of the real and imaginary part of the characteristic function.
Sudhansu S. Maiti, Atanu Biswas
openaire   +4 more sources

Geometric Completeness of Distribution Spaces

Acta Applicandae Mathematica, 2003
The author considers \(\mathcal A\)--submodules \(\mathcal P\) of \({\mathcal A}^ k\), where \(k\in {\mathbb N}\) and \({\mathcal A}={\mathbb C}[\partial_1,\ldots,\partial_n]\) is the ring of linear partial differential operators with constant complex coefficients, and studies properties of the solution spaces \(\text{ker}_{\mathcal F}({\mathcal P ...
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On the Geometric Mittag-Leffler Distributions

Calcutta Statistical Association Bulletin, 2003
As a generalization of geometric exponential distribution, geometric Mittag-Leffler distribution is studied. It is shown that the geometric Mittag- Leffler is the limit of geometric sums of Quasi Factorial gamma random variables. It can he seen that the geometric Mittag-Leffier distribution is geometrically infinitely divisible.
Jayakumar, K., Ajitha, B. K.
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Geometric Skew Normal Distribution

Sankhya B, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Geometric theory for Weibull's distribution

Physical Review E, 2012
Weibull's distribution is the principal phenomenological law of relaxation in the physical sciences and spans three different relaxation regimes: subexponential ("stretched exponential"), exponential, and superexponential. The probabilistic theory of extreme-value statistics asserts that the linear scaling limits of minima of ensembles of positive ...
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Uniform-Geometric distribution

Journal of Statistical Computation and Simulation, 2015
In this paper, a new discrete distribution called Uniform-Geometric distribution is proposed. Several distributional properties including survival function, moments, skewness, kurtosis, entropy and hazard rate function are discussed. Estimation of distribution parameter is studied by methods of moments, proportions and maximum likelihood.
Akdoğan, Yunus   +4 more
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Multivariate geometric distributions

Communications in Statistics - Theory and Methods, 1996
Families of multivariate geometric distributions with flexible correlations can be constructed by applying inverse sampling to a sequence of multinomial trials, and counting outcomes in possibly overlapping categories. Further multivariate families can be obtained by considering other stopping rules, with the possibility of different stopping roles for
P.J. Davy, J.C.W. Rayner
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The distribution of the geometric mean

The Mathematical Gazette, 2006
Although a number of earlier researchers had used the geometric mean as a convenient statistic to summarise observational data, Gallon is usually credited with being the first to consider its sampling distribution. At Gallon’s request, in 1879 McAlister undertook a pioneering mathematical study, which eventually led to the modern large-sample theory ...
David A. L. Wilson, Barry Martin
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