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A Maximum Likelihood estimator was used for parameter estimation.
Poor identification was observed in the semiparametric GMM and SMM frameworks, in which estimating equations are used for parameter estimation.
Generalized estimating equations were used for parameter estimation and an autoregressive correlation structure was incorporated to account for the temporal association in the outcome.
We first check whether the model obtained by constraint-based modeling method can reproduce the experimental data used for parameter estimation, which can give us the information about quality of "in-sample fit" (how good is the model fitting the data used for parameter estimation).
This is an algorithm used for parameter estimation in autoregression analyses and is regarded as a good estimate of the fractional (fractal-like) nature of a vector.
UINQUAC and UNIFAC models have been used for parameter estimation.
General linear models (GLM) were then used for parameter estimation for each critical variable.
Identifiability is improved if diverse data types are used for parameter estimation.
The data was used for parameter estimation of a kinetic model proposed to the First Stage of PYGAS plants.
Parameter confidence and cross correlation are discussed and finally the model is validated using experiments not used for parameter estimation.
Consequently, experimental results and comparisons are given to demonstrate that the basic idea underlying ASVMs can be effectively used for parameter estimation.
More suggestions(15)
used for eBV estimation
used for protein estimation
used for damage estimation
used for parameter optimization
used for consumption estimation
used for parameter identification
used for risk estimation
used for parameter monitoring
used for parameter setting
used for parameter selection
used for grade estimation
used for parameter screening
used for power estimation
used for parameter fitting
used for parameter tuning
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