Sentence examples for model estimation also from inspiring English sources
Joint model estimation also yielded similar results.
The model estimation scheme also provides interval estimates of the smooth terms which does not incur any additional simulations.
For comparison, the results of the beam lobe model estimation are also presented, based on the approach of a spatial moving least squares (MLS) method [21].
The purpose of this paper is to introduce linguistic information in the model estimation and also reduce the source of variability on the initialization of the parameter extraction method.
Model estimation was also conducted in STATA.
The proposed model estimation and selection approach was also evaluated using two sets of density functions D1(n|θ1) = {m1,0(n|θ1), m1,24(n|θ1), m1,48(n|θ1)} and D2(n|θ2) = {m2,0(n|θ2), m2,24(n|θ2), m2,48(n|θ2)} generated using Monte Carlo simulations of the two models M1 and M2.
Multiple imputation has proved to be a useful approach for model estimation (e.g., [ 21]), and could also be used for the validation stage.
Mapping studies often also incorporate demographic characteristics into model estimation to increase a models predictive performance [ 11- 13].
Our populations and allele frequency estimation also includes stochastic sampling that is not modelled.
Table 1 Results of model estimation.
