Sentence examples for multiple predictor variables from inspiring English sources

This paper presents a variation of the K-nearest neighbour resampler designed for use with multiple predictor variables.

Faecal material was photographed and multiple predictor variables were calculated by the Image J (Java 1.6.0_12) Program.

To be conservative, we interpreted these analyses qualitatively because 12 sites (albeit large replication in a field setting) provides low power to quantitatively partition variation among sets of multiple predictor variables.

Because of its simplicity and ability to represent multiple predictor variables to improve the fitted model, this paper proposes use of the logit formulation of the fragility function at the system level for two or more simultaneous weather hazards.

Generalized Linear Models are constructed to account for situations of varying complexity, including: dependence of biochar properties on single or multiple predictor variables, where dependence on multiple variables can have additive and/or interactive effects; non-linear relation between the response and predictors; and non-Gaussian data distributions.

Based on these validation statistics, we included either ( {hat{CC}}_{mathrm{VERT}} ) or ( {hat{CC}}_{mathrm{HEMI}} ) in models with multiple predictor variables.

Data analysis used single and multiple predictor variable logistic regression.

For complex variables, such as pain, we measured multiple candidate predictor variables comprising both observational and self report tools in an attempt to optimize measurement of these factors in this population.

Some previous sample size methods for GLMs concentrate on single or multiple continuous predictor variables.

The more general methods concentrate on single or multiple continuous predictor variables and can be somewhat complex to use.

PLS regression was used to determine the relationship between multiple dependent predictor variables (GC and APCI data) and the maturity/age of cheese.