Results 11 to 20 of about 674,247 (296)

Poisson–Boltzmann–Nernst–Planck model [PDF]

open access: yesThe Journal of Chemical Physics, 2011
The Poisson–Nernst–Planck (PNP) model is based on a mean-field approximation of ion interactions and continuum descriptions of concentration and electrostatic potential. It provides qualitative explanation and increasingly quantitative predictions of experimental measurements for the ion transport problems in many areas such as semiconductor devices ...
Qiong, Zheng, Guo-Wei, Wei
openaire   +4 more sources

Topological Poisson sigma models on Poisson-Lie groups [PDF]

open access: yesJournal of High Energy Physics, 2003
LaTeX JHEP format, 15 pages. Minor corrections.
Calvo, Ivan   +2 more
openaire   +2 more sources

A New Poisson Generalized Lindley Regression Model

open access: yesAustrian Journal of Statistics, 2023
In this paper, a new count distribution is introduced. It is a mixture of the Poisson and generalized Lindley distributions. Statistical properties of the proposed distribution including the factorial moments, probability generating function, moment ...
Yupapin Atikankul
doaj   +1 more source

A POISSON-POISSON MODEL TO ANALYZE CONGESTION DATA [PDF]

open access: yesAdvances and Applications in Statistics, 2018
Summary: Congestion in internet network often worsens the performance of the network. An analysis of congestion data plays a significant role in congestion detection and control. To detect and control congestion, analysis of number of packet arrival, packet inter arrival times, throughput, queuing delay, etc. are some important phenomena.
Jahan, Farzana   +3 more
openaire   +2 more sources

Poisson-Driven Stationary Markov Models [PDF]

open access: yesJournal of Business & Economic Statistics, 2017
We propose a simple yet powerful method to construct strictly stationary Markovian models with given but arbitrary invariant distributions. The idea is based on a Poisson-type transform modulating the dependence structure in the model. An appealing feature of our approach is the possibility to control the underlying transition probabilities and ...
Anzarut M.   +3 more
openaire   +3 more sources

Integrability vs Supersymmetry: Poisson Structures of The Pohlmeyer Reduction [PDF]

open access: yes, 2011
We construct recursively an infinite number of Poisson structures for the supersymmetric integrable hierarchy governing the Pohlmeyer reduction of superstring sigma models on the target spaces AdS_{n}\times S^n, n=2,3,5.
Schmidtt, David M.
core   +1 more source

NEGATIVE BINOMIAL REGRESSION AND GENERALIZED POISSON REGRESSION MODELS ON THE NUMBER OF TRAFFIC ACCIDENTS IN CENTRAL JAVA

open access: yesBarekeng, 2022
Traffic accidents that always increase along with the increasing population growth and the number of vehicles impact the national economy. The number of traffic accidents is a count data that a Poisson distribution can approximate. The Poisson regression
M Al Haris, Prizka Rismawati Arum
doaj   +1 more source

Numerical approximation of the Euler-Poisson-Boltzmann model in the quasineutral limit [PDF]

open access: yes, 2010
This paper analyzes various schemes for the Euler-Poisson-Boltzmann (EPB) model of plasma physics. This model consists of the pressureless gas dynamics equations coupled with the Poisson equation and where the Boltzmann relation relates the potential to ...
A.B. Langdon   +37 more
core   +6 more sources

Covid-19 Data Analysis in Tarakan with Poisson Regression and Spatial Poisson Process

open access: yesCauchy: Jurnal Matematika Murni dan Aplikasi, 2023
COVID-19 entered Indonesia in March 2020 and included North Kalimantan Province, Tarakan. COVID-19 cases have outspread in Tarakan. The cause of the outspread and the patterns were not known yet. One relevant approach was to use Generalized Linear Models.
A'yunin Sofro   +2 more
doaj   +1 more source

Geometric quantization and non-perturbative Poisson sigma model [PDF]

open access: yes, 2005
In this note we point out the striking relation between the conditions arising within geometric quantization and the non-perturbative Poisson sigma model.
Bonechi, Francesco   +2 more
core   +4 more sources

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