Our results extend, generalize, and improve some existing results.
Generalized linear mixed models are a common tool in statistics which extends generalized linear models to situations where data are hierarchically clustered or correlated.
To this end, a three-phase micromechanical model was extended and generalized to multiphase materials.
The generalized estimating equations (GEE) introduced by Liang and Zeger (1986a, b) is a method of analyzing clustered (or correlated) data extending the generalized linear model for non-normal response variables.
His models have also been extended and generalized by Jansson [12, 13] and by Jara-Diaz and Gschwender [14] (see also [15, 16, 17, 18, 19, 20] for cases were this has been mentioned but incorporated into the model) Despite this, the most common practice in statistical/econometric applications is to assume that quality cause demand and not the other way around.
The model is generalized and further extended to a class of mechanism, illustrated by the Ge diffusion in silicon through interstitial mechanisms.
(ii) Theorem 4.2 extends and generalizes the results of [15, 20] to generalized asymptotically nonexpansive semigroups and to CAT 0) spaces.
The contributions of this paper are summarized as follows: first we propose a trust model which generalizes and extends existing trust models by: formulating the propagation of trust as a probabilistic stochastic process.
We propose a four-parameter gamma extended Weibull model, which generalizes the Weibull and extended Weibull distributions, among several other models.
The article extends and generalizes the Intelligent Meeting-Scheduler conceptual model [EXPERSYS 95-Proc. Seventh Intl Conf. Artificial Intelligence Expert Syst. Appl. (1995) 279; J. Organizational Comput. Electron. Commerce, 9 (1999) 233] which focused on intraorganizational meeting scenarios.
