Sentence examples for multiple response variables from inspiring English sources

Because imputation methods can efficiently predict multiple response variables simultaneously, they may be usefully applied to map several structural attributes at the species-level.

For problems with multiple response variables available, one common approach is to apply the univariate response regression technique separately on each response variable.

Most studies measured multiple response variables.

This technique is an extension of multiple regression analysis, in which the effects of linear combinations of several predictors on a response variable (or multiple response variables) are analyzed in a stepwise manner to remove descriptive variables that do not contribute to the model.

PLSR can use multiple response variables simultaneously and utilise inter-correlations between them for model stabilisation.

This analysis is highly suited to the analysis of contest behavior because it accounts for the covariance structure of multiple response variables and provides composite measures of behaviors that best describe the variation in the data (Jolliffe 2002).

(ii) Smoking - this was a multiple response variable which was computed based on whether respondents engaged in at least one of the following: smoked or used any other nicotine containing substance in the last seven days preceding the survey.

Although we evaluated multiple physiological response variables, there was little literature to assist in developing rational predictions.

Multiple binary response variables were defined where each BDA with observed concentrations was assigned an indoor radon vulnerability classification based on the following thresholds: 50, 100, 150, 200, 300, 400, 500, and, 600 Bq m−3.

How these various components are interrelated will begin to emerge from analyses in which multiple biomarkers and response variables are mapped onto nutrient intake surfaces such as shown in Figure 1.

A numerical optimization was also performed for the simultaneous multiple optimization of the response variables resulting in the desirable equilibrium headspace concentration of soursop volatile flavor compounds.