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As for the matching process, these parameters (size of the state vector and number of observations) should be bounded in order to achieve this estimation task in a constant computing time.
To achieve this estimation of the unknown parameters in a traditional way, a severely non-linear problem should be solved [5], but the Prony's intuition allows another approach to be used, i.e., the initial problem is divided into two systems of linear equations, which can be solved easily.
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To achieve this, the estimation of the C5a component of complement and fibrinogen in the human blood serum or plasma during their contact with the above composite materials has been performed.
To achieve this, parameter estimation in ProBMoT minimizes an objective function that measures the difference between the observed and the simulated behavior.
In order to achieve this goal, phasor estimation error (PEE) is employed in this paper.
In order to achieve this goal, power estimation based on ML is employed.
In order to achieve this incremental performance, the estimation of line-of-sight (LOS) delay with high accuracy is a prerequisite for all GNSSs.
In order to achieve this, we additionally perform estimation where we invert only for (mu (t)) (or equivalently (Phi)) while constraining (Theta) to their true values.
Two available measures of household economic standing are used to achieve this - a short run estimation using per capita consumption expenditure and a long run estimation using wealth index.
To achieve this we use ordered logit estimation.
In order to achieve this, we also use simple estimations of parameters which we introduce in Lemma (2.1).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com