Sentence examples for multivariate regression methodology from inspiring English sources

Multivariate regression methodology is a commonly used approach for emulating dynamic models.

Based on meta-analytic and multivariate regression methodologies we critically analyzed all available evidence.

Multivariate Logistic Regression methodology was used to identify the most important biophysical and human variables to explain the emergence of ignition points, incorporating spatial analysis from Remote Sensing and Geographical Information Systems GISS) data.

The investigation was conducted using design-of-experiments methodology and evaluated by multivariate regression analysis.

To understand the dynamics behind the process of polygon fragmentation in land use and cover vector maps we illustrate the potential of a novel regression methodology to cope with multivariate fractional data.

The methodology used was non-linear multivariate regression analysis, and the decision of which variables to use was based on previous publications [ 1, 8].

Among multivariate techniques, Bayesian networks, kernel-based classifiers and multivariate regression are making their way as candidate new methodologies for the analysis of GWAS data [ 6- 11].

In this paper, a methodology is tested which combines Markov chains and logistic multivariate regression to model secondary succession after farmland abandonment in environments where abiotic constraints play a major role, like mountain areas.

These methodologies have the advantage that they can systematically use multivariate regression models to select and combine multiple baseline covariates from different levels of analysis to define subgroups.

Multivariate regression analysis.

Difference-in-difference model (multivariate regression).