Results 61 to 70 of about 16,323,319 (157)

Linear stability and positivity results for a generalized size-structured Daphnia model with inflow§ [PDF]

, 2007
We employ semigroup and spectral methods to analyze the linear stability of positive stationary solutions of a generalized size-structured Daphnia model.
Hagen, Thomas, Farkas, Jozsef Zoltan, Thomas Hagen, Jozsef Z. Farkas   +3 more
core   +1 more source

Correction: Quantifier spreading: Children misled by ostensive cues

Glossa, 2019
This article details a correction to the article É. Kiss, Katalin & Tamás Zétényi. 2017. Quantifier spreading: children misled by ostensive cues. Glossa: A Journal of General Linguistics 2(1). 38.
Katalin É. Kiss, Katalin Mády, Tamás Zétényi   +2 more
doaj   +2 more sources

Space–time proper generalized decompositions for the resolution of transient elastodynamic models [PDF]

, 2013
In this paper, we investigate ability of proper generalized decomposition (PGD) to solve transient elastodynamic models in space–time domain. Classical methods use time integration schemes and an incremental resolution process.
BOUCINHA, Lucas, AMMAR, Amine, GRAVOUIL, Anthony   +2 more
core   +1 more source

Wavelet Based Estimation Of A Semi Parametric

, 2000
This work provides a new approach to estimate the parameters of a semi-parametric generalized linear model in the wavelet domain. The method is illustrated with the problem of detecting significant changes in fMRI signals that are correlated to a ...
François G. Meyer, Generalized Linear Model   +1 more
core  

Genetic heterogeneity of residual variance - estimation of variance components using double hierarchical generalized linear models [PDF]

, 2010
Background The sensitivity to microenvironmental changes varies among animals and may be under genetic control. It is essential to take this element into account when aiming at breeding robust farm animals.
Erling Strandberg, Rönnegård, Lars, Mulder, Herman A., Felleki Majbritt, Fikse, Freddy, Rönnegård Lars, Majbritt Felleki, Ronnegard, L., Fikse Freddy, Felleki, M., Lars Rönnegård, Freddy Fikse, Herman A Mulder, Strandberg Erling, Mulder, H.A., Strandberg, Erling, Fikse, F., Felleki, Majbritt, Mulder Herman A, Strandberg, E., Rönnegård, Lars,, Felleki, Majbritt,   +21 more
core   +1 more source

Application of a Modified Generalized Regression Neural Networks Algorithm in Economics and Finance [PDF]

, 2011
In this paper we propose an alternative and modified Generalized Regression Neural Networks Autoregressive model (GRNN-AR) in S&P 500 and FTSE 100 index returns, as also in Gross domestic product growth rate of Italy, USA and UK. We compare the forecasts
Giovanis, Eleftherios
core  

Optimal Scaling of Interaction Effects in Generalized Linear Models [PDF]

Multiplicative interaction models, such as Goodman's RC(M) association models, can be a useful tool for analyzing the content of interaction effects. However, most models for interaction effects are only suitable for data sets with two or three predictor
Koning, A.J., Rosmalen, J.M. van, Groenen, P.J.F.   +2 more
core  

Estimation for Generalized Linear Models When Covariates Are Subject-specific Parameters in a Mixed Model for Longitudinal Measurements

, 2005
In many studies, a primary endpoint and longitudinal measures of a continuous response are collected for each participant along with other covariates, and the association between the primary endpoint and features of the longitudinal profiles is of ...
Li, Erning
core  

Exploring Global Temperature Oscillations Using a Generalized Linear Box Model

Geophysical Research Letters
Solutions including oscillatory responses to monotonic forcing are derived for a generalized energy balance box model, and used to help explore general circulation model (GCM) global surface temperature responses to CO2 forcing.
Hege‐Beate Fredriksen, Kai‐Uwe Eiselt, Peter Good   +2 more
doaj   +1 more source

Generalized Partially Functional Linear Model with Interaction between Functional Predictors

Axioms
This paper proposes a generalized partially functional linear model with interaction terms. It is suitable for cases where the response variable is scalar, and the predictor variables include a mix of functional and scalar types, while considering the ...
Weiwei Xiao, Kejing Mao, Haiyan Liu
doaj   +1 more source