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Estimation of parameters The program for estimating parameters in M-step is written using Mathematica software version 3.0 [ 17].
From the estimation of parameters in the training samples, we solved the ODE with estimated coefficient functions to predict the expression curves of test samples.
Methods for estimation of parameters governing the HRTD are proposed.
In addition, the size of the LUT and correct estimation of parameters,, and limits these solutions.
Estimation of parameters and change-point of hazard function by the maximum likelihood method are discussed.
Moreover, for correct estimation of parameters of these classification algorithms, a training corpus is needed.
The algorithm also does not need precise estimation of parameters for the initial iteration.
Only three parameters are retained in the camera model, making the estimation of parameters more efficient.
Estimation of parameters of linear systems is a problem often encountered in applications.
The designed optimum input is used for dynamic experiment and subsequent estimation of parameters.
These optimal designs aim at improving the estimation of parameters of this class of models.
More suggestions(15)
estimation of terms
estimation of metrics
prediction of parameters
assessment of parameters
estimation of measurements
estimation of constraints
estimation of patterns
test of parameters
assessments of parameters
data of parameters
estimation of identified
estimates of parameters
estimation of concentrations
estimation of emissions
estimation of costs
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