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In the following, we make efficiency comparisons between the OLSE and BLUE in a singular model according to the above category.
The algorithm strives to overcome the following difficulties: (a) singular model inversion, (b) poor signal to noise ratio, (c) feedback, and (d) certain types of non-linear behaviour.
Therefore, they offer a singular model to explore the suppressive pathways at work.
The Thoroughbred horse provides a singular model system to understand exercise adaptations.
In the future, it will be of great interest to determine whether these effects of NK4 are observable in other animal models of RA, as not all facets of RA are represented in a singular model of the disease.
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In the literature, such a model is often regarded as a weakly singular model or the Zyskind-Martin model [20].
The Watson efficiency ϕ 1 has been generalized to a weakly singular model; see, e.g., [11].
In almost all empirical econometric modeling and forecasting exercises using GDFMs, the latent variables are modeled as an singular AR model, i.e. an AR model with singular spectral density.
Consider the following nonlinear system with interval time-varying delay which could be approximated by a T-S singular model with r plant rules.
(2010), the latent variables are clearly modeled as a singular AR model with 53 outputs and 3 inputs (factors).
In order to apply variable structure control to eliminate the complex behaviors caused by singularity-induced bifurcation, the singular model is transformed into a single-input and single-output model with parameter varying within definite intervals.
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