Results 31 to 40 of about 1,474,880 (186)

Assessing Influence on Partially Varying-coefficient Generalized Linear Model

open access: yesRevstat Statistical Journal
In this paper we discuss estimation and diagnostic procedures in partially varying-coefficient generalized linear models based in the penalized likelihood function.
Germán Ibacache-Pulgar   +2 more
doaj   +1 more source

Investigating the impact of CO2 emissions on the COVID-19 pandemic by generalized linear mixed model approach with inverse Gaussian and gamma distributions

open access: yesOpen Chemistry, 2023
Carbon dioxide (CO2) rate within the atmosphere has been rising for decades due to human activities especially due to usage of fuel types such as coal, cement, flaring, gas, oil, etc.
İyit Neslihan   +2 more
doaj   +1 more source

A Note on the Identifiability of Generalized Linear Mixed Models [PDF]

open access: yes, 2014
I present here a simple proof that, under general regularity conditions, the standard parametrization of generalized linear mixed model is identifiable.
Labouriau, Rodrigo
core  

Variable Selection and Model Averaging in Semiparametric Overdispersed Generalized Linear Models

open access: yes, 2007
We express the mean and variance terms in a double exponential regression model as additive functions of the predictors and use Bayesian variable selection to determine which predictors enter the model, and whether they enter linearly or flexibly.
Berger J. O.   +9 more
core   +1 more source

Solving matrix models using holomorphy [PDF]

open access: yes, 2003
We investigate the relationship between supersymmetric gauge theories with moduli spaces and matrix models. Particular attention is given to situations where the moduli space gets quantum corrected. These corrections are controlled by holomorphy.
D. Berenstein   +41 more
core   +3 more sources

Generalized linear models

open access: yes, 2002
Abstract While this model is important for normally distributed data, it is less useful for other distributions such as the binomial, Poisson and gamma. The context in which such distributions are used often means that we need to model E [Y ] as a non-linear function of Xβ .
Paul Garthwaite   +2 more
openaire   +4 more sources

Prediction of Gene Expression Patterns With Generalized Linear Regression Model

open access: yesFrontiers in Genetics, 2019
Cell reprogramming has played important roles in medical science, such as tissue repair, organ reconstruction, disease treatment, new drug development, and new species breeding.
Shuai Liu   +6 more
doaj   +1 more source

Current-Induced Step Bending Instability on Vicinal Surfaces

open access: yes, 1998
We model an apparent instability seen in recent experiments on current induced step bunching on Si(111) surfaces using a generalized 2D BCF model, where adatoms have a diffusion bias parallel to the step edges and there is an attachment barrier at the ...
A. Pimpinelli   +24 more
core   +1 more source

Design of non-linear filter in the problem of structural identification of biomedical signals with locally concentrated properties [PDF]

open access: yes, 2013
In this paper we propose a generalized method of structural identification of biomedical signals with locally concentrated properties using a digital non-linear filter.
Filatova, A. E.   +2 more
core   +1 more source

A Laplace Transform Method for Molecular Mass Distribution Calculation from Rheometric Data

open access: yes, 2017
Polydisperse linear polymer melts can be microscopically described by the tube model and fractal reptation dynamics, while on the macroscopic side the generalized Maxwell model is capable of correctly displaying most of the rheological behavior.
C. Lang   +4 more
core   +1 more source

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