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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.
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All models included multiple imputation by chained equations for missing data and for missing outcomes due to loss to follow-up.
Therefore the most parsimonious model (the one we used) controlled for clustering within CMHW only.> -wrap-foot>> -wrAllfoot> All models included multiple imputation by chained equations for missing data and for missing outcomes due to loss to follow-up.
Given the high collinearity of many sociodemo-graphic, built environment and biophysical predictors, the majority of the mortality rate ratio models have only one independent variable, while the air conditioning and surface temperature models include multiple predictors.
These findings are presented in the form of a complex model, including multiple sources of influence on the criterion variable.
Firstly, a three-dimensional (3D) reservoir model including multiple natural fractures was built to investigate the flow of nanoparticles and the distribution of volume magnetic susceptibility (VMS) when injecting magnetic nanoparticles.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com