Transactional Interpretation and the Generalized Poisson Distribution [PDF]
The aim of this paper is to study the quantum-like approach to the description of the market in the context of the principle of minimum Fisher information. We wish to investigate the validity of using squeezed coherent states as market strategies.
Marcin Makowski +1 more
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Generalized Poisson Hurdle Model for Count Data and Its Application in Ear Disease [PDF]
For count data, though a zero-inflated model can work perfectly well with an excess of zeroes and the generalized Poisson model can tackle over- or under-dispersion, most models cannot simultaneously deal with both zero-inflated or zero-deflated data and
Guoxin Zuo +3 more
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Determination of the best multivariate adaptive geographically weighted generalized Poisson regression splines model employing generalized cross-validation in dengue fever cases [PDF]
This article constructs a new model based on multivariate adaptive generalized Poisson regression splines (MAGPRS) and geographically weighted generalized Poisson regression (GWGPR), which is known as multivariate adaptive geographically weighted ...
Riry Sriningsih +2 more
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A GLM-based zero-inflated generalized Poisson factor model for analyzing microbiome data [PDF]
MotivationHigh-throughput sequencing technology facilitates the quantitative analysis of microbial communities, improving the capacity to investigate the associations between the human microbiome and diseases.
Jinling Chi, Jimin Ye, Ying Zhou
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An Analysis of Household Demand for Food Away from Home (FAFH) in Riyadh, Saudi Arabia: A Right-Left Truncated Generalized Poisson Regression Model [PDF]
This study analyzed the determinants of household demand for food away from home (FAFH) in Riyadh, Saudi Arabia. Truncated generalized Poisson regression (TGPR) and truncated standard Poisson regression (TSPR) was applied to data from a random sample of ...
Alaa Kotb +3 more
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Modelling Generalized Poisson Regression in the Number of Dengue Hemorrhagic Fever (DHF) in East Nusa Tenggara [PDF]
Regression analysis is an analysis used to model the relationship between the dependent variable (Y) and the independent variable (X). If the dependent variable is a discrete random variable, it is developed using the Poisson regression model.
Prahutama Alan +2 more
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Abstract Years ago, Zeev Rudnick defined the Poisson generic real numbers by counting the number of occurrences of long blocks of digits in the initial segments of the expansions of the real numbers in a fixed integer base. Peres and Weiss proved that almost all real numbers, with respect to the Lebesgue measure, are Poisson generic, but
Alvarez, Nicolás Alejandro +2 more
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Can Generalized Poisson model replace any other count data models? An evaluation
Background: Count data represents the number of occurrences of an event within a fixed period of time. In count data modelling, overdispersion is inevitable.
Bijesh Yadav +6 more
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On Periodic Generalized Poisson INGARCH Models
This article discusses the class of Periodic Generalized Poisson Integer-Valued Generalized Autoregressive Conditional Heteroscedastic PGPINGARCH models.
Nawel Aries
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Dynamics of generalized Poisson and Nambu–Poisson brackets [PDF]
A unified setting for generalized Poisson and Nambu–Poisson brackets is discussed. It is proved that a Nambu–Poisson bracket of even order is a generalized Poisson bracket. Characterizations of Poisson morphisms and generalized infinitesimal automorphisms are obtained as coisotropic and Lagrangian submanifolds of product and tangent manifolds ...
Ibáñez, Raúl +3 more
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