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The h-likelihood approach to multivariate generalized linear mixed models is extended.
In addition, use of intelligent models is extended recently for prediction of physical properties of energy sources (Mohamadi-Baghmolaei et al. 2014, 2015).
In cases of multiple outcome variables, the use of the logit and probit models is extended to a multinomial logit or probit analysis (Damodar 2004).
A positivity preserving implicit procedure for first order time integration of two-equation turbulence models is extended to second-order time integration utilizing dual-time stepping.
The analysis of Kosaly and Givi (1987) of C/D models is extended for more than one independent variables of stochastic field in turbulent flow.
For regression problems, the locally regularised orthogonal least squares (LROLS) algorithm aided with the D-optimality experimental design, originally derived for constructing parsimonious real-valued RBF models, is extended to the fully complex-valued RBF CVRBFF) network.
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The developed mathematical models are extended toward language.
Topic models are extended differently to focus on candidate aspect terms only.
These models were extended by considering a set of the control variables.
The models are extended to orthotropic carbon-epoxy wave springs with arbitrary geometric parameters.
Models were extended to assess parent-of-origin effects (POEs).
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