Application of Gompertz-Poisson Distribution in LifetimeTheory
پژوهشهای ریاضی, 2017 Gompertz-Poisson distribution is a three-parameter lifetime distribution with increasing, decreasing, increasing-decreasing and unimodal shape failure rate function and a composition of Gompertz and Poisson distributions cut at zero point that in this ...
Shahram Yaghoubzadeh Shahrestani
doaj
Analyzing longitudinal clustered count data with zero inflation: Marginal modeling using the Conway-Maxwell-Poisson distribution. [PDF]
Biom J, 2021 Kang T, Levy SM, Datta S.
europepmc +1 more source
Probability of ruin for a dependent, two-dimensional poisson process [PDF]
A two-dimensional, dependent Poisson risk process is investigated in the paper. Claims are divided into two classes. Within each class claims have the same distribution, but claims belonging to different classes can have different distributions and the ...
Stanislaw Heilpern
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Poluição atmosférica e atendimentos por pneumonia e gripe em São Paulo, Brasil
Revista de Saúde PúblicaOBJETIVO: Investigar os efeitos causados pela poluição atmosférica na morbidade por pneumonia e por gripe em idosos entre 1996 e 1998. MÉTODOS: Foram obtidos dados diários de atendimentos por pneumonia e gripe para idosos em pronto-socorro médico de um ...
Lourdes Conceição Martins +5 more
doaj
What can we learn from supermarkets? An application of the Poisson distribution (order-up-to) model to improve blood culture bottle supplies. [PDF]
Future Healthc J, 2021 Kazzazi F +3 more
europepmc +1 more source
Reducing the bias of the maximum likelihood estimator for the Poisson regression model [PDF]
We derive expressions for the first-order bias of the MLE for a Poisson regression model and show how these can be used to adjust the estimator and reduce bias without increasing MSE.
Hui Feng, David E Giles
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Bivariate Poisson and Diagonal Inflated Bivariate Poisson Regression Models in R
In this paper we present an R package called bivpois for maximum likelihood estimation of the parameters of bivariate and diagonal inflated bivariate Poisson regression models. An Expectation-Maximization (EM) algorithm is implemented.
Dimitris Karlis, Ioannis Ntzoufras
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This paper considers geometric ergodicity and likelihood based inference for linear and nonlinear Poisson autoregressions. In the linear case the conditional mean is linked linearly to its past values as well as the observed values of the Poisson process.
Dag Tjøstheim +2 more
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The Poisson Approximation to the Poisson Binomial Distribution
The Annals of Mathematical Statistics, 1960 Hodges, J. L., Cam, Lucien Le
openaire +2 more sources
Thermodynamic Limits of Macroeconomic or Financial Models: One-and Two-Parameter Poisson-Dirichlet Models (Forthcoming in "Journal of Economic Dynamics and Control", 2007. ) [PDF]
This paper examines asymptotic behavior of two types of economic or financial models with many interacting heterogeneous agents. They are one-parameter Poisson-Dirichlet models, also called Ewens models, and its extension totwo-parameter Poisson ...
Masanao Aoki
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