Results 251 to 260 of about 674,247 (296)

Eccentric Poisson-Boltzmann cell model

Physical Review E, 2000
We solve the nonlinear Poisson-Boltzmann equation around a charged colloidal sphere in an electrolyte that is confined in a cell. The colloid has an eccentric position inside the confining sphere. This models the situation in a highly concentrated charge-stabilized colloidal suspension, where a single colloid simultaneously interacts with the whole ...
, von Grunberg HH, , Belloni
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The Poisson-Helmholtz-Boltzmann model

The European Physical Journal E, 2011
We present a mean-field model of a one-component electrolyte solution where the mobile ions interact not only via Coulomb interactions but also through a repulsive non-electrostatic Yukawa potential. Our choice of the Yukawa potential represents a simple model for solvent-mediated interactions between ions.
K, Bohinc, A, Shrestha, S, May
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Poisson wavelets applied to model identification

Journal of Process Control, 1994
Abstract A novel wavelet transform is introduced based on the backward difference of the Poisson probability density function. This family of wavelets is a function of one discrete and two continuous variables. The Poisson wavelet transform is useful for system identification, parameter estimation and model validation.
Karlene A. Kosanovich, Allan R. Moser, Michael J. Piovoso   +2 more
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Grouped Network Poisson Autoregressive Model

Statistica Sinica
Summary: Although multivariate Poisson autoregressive models are popular for fitting count time series data, statistical inferences are quite challenging. The network Poisson autoregressive (NPAR) model reduces the inference complexity by incorporating network information into the dependence structure, where the response of each individual can be ...
Tao, Yuxin, Li, Dong, Niu, Xiaoyue
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Specification Test for Poisson Regression Models

International Economic Review, 1986
The specification of the Poisson model is tested against some general models for the analysis of counted data. The test of Poisson models is considered against negative binomial distribution, general family of discrete distributions based on Pearson's difference equation and series expansion of distributions.
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Poisson Graphical Models

2023
Faming Liang, Bochao Jia
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On the James-Stein estimator for the poisson regression model

Communications in Statistics Part B: Simulation and Computation, 2022
Muhammad Amin, Muhammad Nauman Akram
exaly  

Lagrangian Poisson Model

BioScience, 1980
Rodger Mitchell, Konanur G. Janardan, Harold W. Kerster, David J. Schaeffer   +3 more
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Compound Poisson Regression Models

1982
Count 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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Space—Time Poisson Models

1999
This chapter covers space—time Poisson models for queueing networks, spatial service or storage systems, and particle systems. Such a model describes the collective movement of units or customers in space and time, where the units enter the system according to a Poisson space—time process and then move about independently of each other.
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