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The parameters were estimated using the maximum likelihood estimator (MLE).
GMM parameters were estimated using the standard maximum likelihood (ML) estimation method via the expectation maximization (EM) algorithm.
Kinetic parameters were estimated using the one-compartment linear pharmacokinetic model.
The genetic parameters were estimated using the software Selegen-Reml/Blup.
The kinetics and mass transfer parameters were estimated using the PSO (particle swarm optimization) heuristic algorithm.
The parameters were estimated using the Zhang calibration method [38].
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In static estimation, a set of parameters is estimated using the measurements of all nodes, which collectively form a snapshot of the system at a fixed time.
Then the PID parameters are estimated using the identified model and phase and gain margin design criteria.
First, the initial values of the rock mass mechanical parameters are estimated using the available literature that relates intact rock and discontinuity properties to rock mass parameters.
The oxidation mediated transition is modeled as a pseudo-first order kinetics and the thermodynamic parameters are estimated using the Eyring's formulation.
The parameters are estimated using the R-function mclust (Fraley et al., 2012).
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patterns were estimated using the
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parameters were analysed using the
parameters were fitted using the
parameters were determined using the
parameters were computed using the
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parameters were trained using the
parameters were selected using the
parameters were compared using the
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