Sentence examples for linear regression methodology from inspiring English sources

Variable selection and model development were carried out by stepwise multiple linear regression methodology.

The soft sensor's underlying model consists of an automated stepwise linear regression methodology to find the relevant predictor variables.

In particular, the linear regression methodology and the radial basis function (RBF) neural network architecture are utilized for producing the input output "meta-models".

If the response variable is a qualitative variable (dichotomic or polychotomic), as for example the presence or absence of a disease, linear regression methodology is not applicable, and simple or multinomial logistic regression is used, as applicable.

In this study, we developed a simple non-linear regression methodology in modeling and forecasting malaria incidence in Chennai city, India, and predicted future disease incidence with high confidence level.

Parameters were estimated using a non-linear regression methodology [ 35].

This software http://www.gridqtl.org.uk/ implements a linear regression (LR) methodology, considering the linkage phase between markers according to pedigree information.

Main and interaction effects were analyzed using a linear regression analysis methodology via the SAS JMP Pro 10 software according to previously established methods.

In contrast to other adaptation algorithms (e.g., maximum likelihood linear regression), the specific methodology requires more adaptation data since it works at the component level.

In the next step, identified QTL passing a particular significance threshold are included in a single model, and the combined effects of all QTL alleles are estimated simultaneously by either maximum likelihood or multiple linear regression-based methodologies (Edwards and Johnson 1994; Meuwissen et al. 2001; Bernardo and Yu 2007).

The table includes the coefficients for the linear regression presented in the methodology section and the adjusted R2 value.