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Supervised classification methodology has been employed using maximum likelihood technique in ERDAS 9.3 Software.
Model parameters were estimated using the maximum likelihood technique applied to a one-dimensional population balance model, which was solved by the method of classes.
To assess the correlation between the genetics of intended targets and the adverse event/side effect profile of a drug, we performed multivariate logistic regressions, both without feature selection (using the "glm" R package) and with feature selection (using the lasso penalized maximum likelihood technique using the "glmnet" R package68,69 v2.0-10 v2.0-10
Using the EGRET data and an improved point source analysis, including an energy-dependent point spread function and an unbinned maximum likelihood technique, we have been able to place considerably lower limits on the γ-ray flux from the galactic center region.
The maximum likelihood technique is used to estimate the β parameter.
The parameters α and β can be easily estimated by using the maximum likelihood technique [42].
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If a simultaneous-equation model is developed, the parameters should be estimated through two-stage least squares, or through limited or full-information maximum likelihood techniques.
Because standard maximum likelihood techniques often fail to converge in such instances, hierarchical regression methods have seen increasing use.
The different signals received by the AP are then processed using standard detection strategies (i.e., using maximum likelihood techniques).
Efficient maximum likelihood techniques to mitigate multipath are not practical for many applications due to their high computational burden.
This approach is in contrast to earlier works which either use solutions to inverse dispersion problems for localization or apply maximum likelihood techniques.
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