Since some growing graphs were employed successively as models of researching scale-free networks, hierarchical networks and self-similar networks, so we, in this article, will define a new graph labelling and construct network models that admit the new labellings.
We take on all estimation possibilities starting with the simpler models that admit only one mixture of normals.
To demonstrate the ideas and power of the proposed method, we apply it to ecological and biological network models that admit stable periodic solutions: the Rosenzweig-MacArthur (RMA) model and the Laub-Loomis (LL) model.
In a recent work, Bottura and co-workers, using the field orientation principle, introduced a representation of a nonlinear time-varying induction motor model that admits robust induction motor controller synthesis in the linear H∞ framework.
The generalized coupled thermoelasticity based on the Lord Shulman (LS) model that admits the second sound effect is considered to study the dynamic thermoelastic response of functionally graded annular disk.
We then continue with models that contemplate combinations of two mixtures of normals, and explore the possibility of a model that admits up to three mixtures of normals, in order to find the best specification for the Peruvian economy.
By evaluating each model separately, they find that the unrestricted ARIMA model has a better performance in terms of the likelihood function; besides, the analysis of data rejects the possibility of zero correlation, whereas an unobserved components model that admits correlation leads to the same results than an equivalent ARIMA model.
Given that we want to identify genetic subgroups with different prognoses, we should favor a model that admits unknown and possibly dramatically different survival experiences.
We then used site models that compare the fit of two nested site specific models to the data – a neutral model that does not admit positive selection (ω < = 1) and a more general, alternative model that admits positive selection (ω > 1).
Among the estimated models, those that admit a change in the trend level (with the exception of the UC-CN model) present a slope or long-term growth rate with cyclical behavior.
