Results 11 to 20 of about 5,073,058 (275)
Approximation Methods for the Bivariate Compound Truncated Poisson Gamma Distribution
In certain situations probability computations are required for some complex distributions; like a compound distribution. This can leads to some comptational complexities. In such situations, the problem can be simplified by using some approximation techniques like the “saddle-point” approximation.
Amal Alhejaili, Ateq Alghamedi
openaire +2 more sources
Analysis of correlated count data using generalised linear mixed models exemplified by field data on aggressive behaviour of boars [PDF]
Population-averaged and subject-specific models are available to evaluate count data when repeated observations per subject are present. The latter are also known in the literature as generalised linear mixed models (GLMM).
N. Mielenz, J. Spilke, E. von Borell
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In optimal experimental design theory it is usually assumed that the response variable follows a normal distribution with constant variance. However, some works assume other probability distributions based on additional information or practitioner’s ...
Sergio Pozuelo-Campos +2 more
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Exponential families of mixed Poisson distributions [PDF]
If I=(I1,…,Id) is a random variable on [0,∞)d with distribution μ(dλ1,…,dλd), the mixed Poisson distribution MP(μ) on View the MathML source is the distribution of (N1(I1),…,Nd(Id)) where N1,…,Nd are ordinary independent Poisson processes which are also ...
Letac, G. +9 more
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The Kumaraswamy-G Poisson Family of Distributions [PDF]
For any baseline continuous G distribution, we propose a new generalized family called the Kumaraswamy-G Poisson (denoted with the prefix “Kw-GP”) with three extra positive parameters.
Manoel Wallace A. Ramos +5 more
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Bayesian Estimation of Parameters Correlation of Bivariate Poisson Distribution [PDF]
In this study, based on Bayesian Generalized Linear Models, correlation between the parameters of two Poisson distributions was computed. Due to lack of the closed form for posterior distribution, hierarchical Bayesian statistics using the Metropolis ...
Farzad Eskandari
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Proses Poisson majemuk (compound Poissonprocess (CPP)) adalah salah satu pengembangan dari teori stokastik yang digunakan untuk memodelkan fenomena nyata.
Syarif Abdullah +8 more
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Lattice permutations and Poisson-Dirichlet distribution of cycle lengths [PDF]
We study random spatial permutations on ℤ3 where each jump x↦π(x) is penalized by a factor e−T∥x−π(x)∥2 . The system is known to exhibit a phase transition for low enough T where macroscopic cycles appear.
Daniel Ueltschi +6 more
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Some estimates of the normal approximation for mixture of Poisson and gamma random variables
In the paper, we present the upper bound of Lp norms ∆p of the order (a1 + a2)/(DZ)-1/2 for all 1 0, and the random variable Y by the standard gamma distribution Γ (α, 0, 1) with the parameter α > 0.
Jonas Kazys Sunklodas
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Variance Gamma (nonlocal) equations
Some equations are provided for the Variance Gamma process using the definition other than that based on a time-changed Brownian motion. A new nonlocal equation is obtained involving generalized Weyl derivatives, which is true even in the drifted case ...
Fausto Colantoni
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