We used ordinary-least-squares multiple regression (OLS) and the Akaike's information criterion (corrected for spatial autocorrelation) and derived indices to generate parsimonious models including multiple predictors.
Thus, a two-year field investigation was carried out to provide a dataset to compare the effectiveness of HYDRUS-2D, a physically-based numerical model, with various machine-learning models, including Multiple Linear Regressions (MLR), Adaptive Neuro-Fuzzy Inference Systems (ANFIS), and Support Vector Machines (SVM), for simulating time series of SWC data under water stress conditions.
We'll also learn how to fit a variety of predictive models, including multiple regression, logistic regression, classification and regression trees, and neural networks.
The system presented here permits to encapsulate models and to maintain a consistent repository of models, including multiple model versions, which can be linked to a centralized database with complete documentation about the model endpoints, characteristics of the training series and model quality.
To identify potentially independently associated SNPs, we ran models including multiple associated SNPs within a gene.
Because of the high correlation between these compounds, statistical models including multiple pollutants were not assessed.
Models including multiple exposure windows suggested short term averaging periods were more relevant than long term averaging periods.
Beyond the traditional dyadic mentoring model, a number of mentoring models, including multiple- and peer-mentoring models, have been described and studied [ 31- 36].
Similarly, in models including multiple pollutants we found that ORs for each pollutant were attenuated compared with single-pollutant models, and no longer statistically significant.
All models included multiple imputation by chained equations for missing data and for missing outcomes due to loss to follow-up.
