The five statistical techniques included were: generalized linear models (GLM), generalized additive models (GAM), classification tree analysis (CTA), neural networks (ANN) and multiple adaptive regression splines (MARS).
To study the effect of noise on the retrieval and classification, additive and multiplicative noise of various variances were applied to the database.
Based on a time series of demographic and distribution data (1997 2009), we developed generalized additive models and classification trees to test the effect of road distance on bustard distribution, identify road-effect distances and explore the seasonality of these effects.
This study applies different statistical regression models: generalized linear models, generalized additive models and classification trees to estimate the quality of galvanized steel coils on the basis of short time histories.
The aim of this study was to compare the accuracy of generalized linear models (GLM), generalized additive models (GAM), classification tree analysis (CTA), neural networks (ANN) and multiple adaptive regression splines (MARS) in predictive geomorphological modelling.
The ADtree is based on the boosting technique but is at the same time a tree structure representable as a conjunction of rules all contributing a real-valued additive evidence toward classification.
These effects were investigated by applying an environmental envelope method (BIOCLIM) and three regression-based methods: logistic regression (LR), generalized additive modelling (GAM), and classification and regression tree (CART) to simulated species occurrence data.
Classification of additive, antagonistic, or synergistic effect is determined by comparing the response to a combinatorial perturbation with that to a single perturbation [ 39, 40].
CI: Confidence interval; EHAs: Emergency hospital admissions; GAM: Generalised additive model; ICD: International classification of diseases; NEC: Non-external causes; NO2: Nitrogen dioxide; O3: Ozone; PM10: Particulate matter with diameter less than 10 μm; RR: Relative risk.
Finally, study established three classification of additives based on material structure, method of application and additives functions.
