Results 31 to 40 of about 170,115 (204)
On the Convergence of Poisson Binomial to Poisson Distributions
It is well known that under certain conditions, binomial distributions converge to Poisson distributions. Simons and Johnson (1971) showed that the convergence is actually much stronger than in the usual sense. In this note the author shows that the result of Simons and Johnson is also true for Poisson binomial distributions which include binomial ...
openaire +2 more sources
Simulating the tail of the interference in a Poisson network model [PDF]
Interference among simultaneous transmissions represents the main limitation factor for the capacity and connectivity of dense wireless networks. In this paper we provide efficient simulation laws for the tail of the interference in a simple wireless ad ...
Torrisi, G.L. +2 more
core +1 more source
Croatian First Football League: Teams' performance in the championship
The goal of our research was to use simulation modelling for prediction of the Croatian First Football League seasonal ranking and analyse variation in teams’ performance during a season.
Munđar Dušan, Šimić Diana
doaj +1 more source
POISSON REGRESSION MODELING GENERALIZED IN MATERNAL MORTALITY CASES IN ACEH TAMIANG REGENCY
Maternal Mortality Rate (MMR) is the number of maternal deaths due to the process of pregnancy, childbirth, and postpartum which is used as an indicator of women's health degrees.
Riska Novita Sari +2 more
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The implementation of emission-computed tomography (ECT), including positron emission tomography and single-photon emission-computed tomography, has been an important research topic in recent years and is of significant and practical importance. However,
Abdelwahhab Boudjelal +3 more
doaj +1 more source
Class of Analytic Function defined by Neutrosophic Poisson Distribution [PDF]
This article investigates the interplay between univalent functions, the Salagean operator, and Poisson distribution within the framework of neutrosophic distribution and neutrosophic Poisson distribution.
Olushola Adeyemo +4 more
doaj +1 more source
POISSON REGRESSION MODELLING OF AUTOMOBILE INSURANCE USING R
Automobile insurance benefits are protecting the vehicle and minimizing customer losses. Insurance companies must provide funds to pay customer claims if a claim occurs. Insurance claims can be modelled by Poisson regression.
Sandy Vantika +2 more
doaj +1 more source
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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Using Computational and Mathematical Methods to Explore a New Distribution: The ν-Poisson
A new distribution (the v-Poisson) and its conjugate density are introduced and explored using computational and mathematical methods. The v-Poisson is a two-parameter extension of the Poisson distribution that generalizes some well-known discrete ...
Galit Shmeuli (5408588) +4 more
core +1 more source
Modelling count data with overdispersion and spatial effects [PDF]
In this paper we consider regression models for count data allowing for overdispersion in a Bayesian framework. Besides the inclusion of covariates, spatial effects are incorporated and modelled using a proper Gaussian conditional autoregressive prior ...
Gschlößl, Susanne, Czado, Claudia
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