Results 51 to 60 of about 170,115 (204)
Testing for zero-modification in count regression models [PDF]
Count data often exhibit overdispersion and/or require an adjustment for zero outcomes with respect to a Poisson model. Zero-modified Poisson (ZMP) and zero-modified generalized Poisson (ZMGP) regression models are useful classes of models for such ...
Min, Aleksey, Czado, Claudia
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Disasters that occur in Indonesia lead to financial loss. One approach to mitigating the financial impact is through the utilization of natural disaster insurance.
Vanessa Anggriawan +2 more
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Rank-Poisson Transformation for Use with Count Data in Poisson Regression
Count outcomes are commonly analyzed using Poisson regression, but empirical data often exhibit overdispersion, excess ties, heaping, or other departures from the Poisson distribution. This paper evaluates a rank-Poisson transformation, denoted poisrank,
Daniel B. Wright, Sage N. Stafford
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Multivariate Mixed Poisson Distributions
Publication in the conference proceedings of EUSIPCO, Viena, Austria ...
Ferrari, Anthony +2 more
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A Unified Approach to Some Mixed Poisson Distributions
[[abstract]]In this paper we derive a new mixed Poisson distribution which includes the negative binomial, Poisson-Lindley, Poisson-Lomax, Poisson-Beta type II, and Poisson-F distributions.
Ghitany,M. E., Al-Awadhi,S. A.
core
Generalized Poisson Distribution
Not ...
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"On a limiting quasi-multinomial distribution" [PDF]
A random clustering distribution is useful for modeling count data. The present article derives a new distribution of this type from the Lagrangian Poisson distribution, based on the result that any infinitely divisible distribution over nonnegative ...
Nobuaki Hoshino
core
A priori ratemaking using bivariate poisson regression models [PDF]
In automobile insurance, it is useful to achieve a priori ratemaking by resorting to generalized linear models, and here the Poisson regression model constitutes the most widely accepted basis. However, insurance companies distinguish between claims with
Lluis Bermúdez i Morata
core
Spatial modelling of claim frequency and claim size in insurance [PDF]
In this paper models for claim frequency and claim size in non-life insurance are considered. Both covariates and spatial random e ects are included allowing the modelling of a spatial dependency pattern.
Gschlößl, Susanne, Czado, Claudia
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Modeling over-dispersed count data is a common challenge in applied statistics, especially in engineering applications where repeated events, system faults, and clustered observations often produce variability beyond that allowed by the classical Poisson
Fatma Zohra Seghier +3 more
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