Results 11 to 20 of about 76,919 (275)
Mathematics, 2023 This paper considers a generalization of the Rényi theorem to the case of a structural distribution with a scale parameter. In terms of the zeta metric, some estimates of the convergence rate in the generalized Rényi theorem are obtained when the ...
Alexey Kudryavtsev, Oleg Shestakov
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Analysis of correlated count data using generalised linear mixed models exemplified by field data on aggressive behaviour of boars [PDF]
Archives Animal Breeding, 2015 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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Mathematics, 2021 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]
, 2006 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]
Journal of Statistical Theory and Applications (JSTA), 2015 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]
فصلنامه پژوهشهای اقتصادی ایران, 2016 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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MUST: Journal of Mathematics Education, Science and Technology, 2020 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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Consistency and asymptotic normality of the maximum likelihood estimator in a zero-inflated generalized Poisson regression [PDF]
, 2005 Poisson regression models for count variables have been utilized in many applications. However, in many problems overdispersion and zero-inflation occur.
Min, Aleksey, Czado, Claudia
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Some estimates of the normal approximation for mixture of Poisson and gamma random variables
Lietuvos Matematikos Rinkinys, 2010 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
Modern Stochastics: Theory and Applications, 2023 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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