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Compound Poisson approximations for individual models with dependent risks
Insurance: Mathematics and Economics, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Genest, Christian +2 more
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Zero-Distorted Compound Poisson INGARCH Models
2019Compound Poisson INGARCH (CP-INGARCH) models are a wide class of processes recently introduced in the literature, which are able to describe counting systems compatible with all compound Poisson distributions and incorporating other general characteristics as conditional heteroscedasticity or overdispersion.
E. Gonçalves, N. Mendes-Lopes
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Compound Poisson Regression Models
1982Count data are easily modelled in GLIM using the Poisson distribution. However, in modelling such data the counts are often aggregated over one or more factors, or important explanatory variables are unavailable and as a result the fit obtained is often poor.
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The compound Poisson risk model with multiple thresholds
Insurance: Mathematics and Economics, 2008zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lin, X. Sheldon, Sendova, Kristina P.
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Bivariate regression models based on compound Poisson distribution
Communications in Statistics - Theory and Methods, 2017ABSTRACTBased on a compound Poisson distribution, new bivariate regression models are introduced and studied. The parameters of the bivariate regression models are estimated by using the maximum likelihood method. Two applications on real datasets are presented to illustrate the models.
Abdulhamid A. Alzaid +2 more
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The Perturbed Compound Poisson Risk Model with Proportional Investment
Acta Mathematicae Applicatae Sinica, English SerieszbMATH Open Web Interface contents unavailable due to conflicting licenses.
Deng, Nai-dan +2 more
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Modeling the Demand for Sicilian Regional Parks: A Compound Poisson Approach
Environmental and Resource Economics, 2009This analysis examines the demand for a system of regional parks in Sicily (Italy). The analysis utilizes conventional count data methods that do not account for correlation across parks as well as a new model that allows for cross-site correlation and dispersion.
SIGNORELLO, Giovanni +3 more
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A compound method of modelling a Poisson distribution
USSR Computational Mathematics and Mathematical Physics, 1979Abstract A METHOD of modelling the Poisson distribution, based on the property of closedness of this distribution with respect to the convolution operator, is explained.
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Compound Poisson approximation for the Johnson-Mehl model
Journal of Applied Probability, 2000We consider the uncovered set (i.e. the complement of the union of growing random intervals) in the one-dimensional Johnson-Mehl model. Let S(z,L) be the number of components of this set at time z > 0 which intersect (0, L]. An explicit bound is known for the total variation distance between the distribution of S(z,L) and a Poisson distribution,
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An application of compound Poisson modelling to biological dosimetry
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2010In this paper, the r th-order univariate Hermite distributions are proposed to model the number of dicentrics in biological dosimetry. These families of distributions are introduced from compound Poisson process modelling. Regression models appropriate for analysing the number of dicentrics as a function of doses of
Puig, Pedro, Barquinero, Joan Fransesc
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