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The method of maximum likelihood estimation is proposed for estimating the model parameters.
This would inevitably increase the computational demands of the estimation procedure and so alternative methods for estimating the model will also be explored.
Since all data will contribute to some extent in estimating the model parameters, our approach to sample size estimation is conservative and protects against an underpowered study.
An internet-based stated experiment was conducted in The Netherlands to collect data for estimating the model.
A graphical method for estimating the model parameters was proposed.
The results of estimating the model are presented in Table 7.
The maximum likelihood procedure is used for estimating the model parameters.
We use the maximum likelihood method for estimating the model parameters.
Strategies for estimating the model parameters (i.e., filter coefficients) will be described in Section 3.2.
The Norwegian National Forest Inventory (NFI) is used as data base for estimating the model parameters.
In SSALT, the main method of estimating the model parameters is still the MLE [7, 75].
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