Sentence examples for based on partial regression from inspiring English sources

The magnitudes of these odds ratios are particularly striking and concerning given that they are based on partial regression coefficients and not on simple probability ratios.

Contextual selection, which is based on partial regression coefficients, will determine that only individual level selection on helping is occurring (Heisler and Damuth 1987).

Spectral models for TSS prediction were developed, based on Partial Least Squares regression.

The other approach is a multivariate method, based on partial least squares regression, which can be used to design shift compensation models for the whole gas-sensor array.

An improved genetic algorithms (GAs) is used to implement an automated wavelength selection procedure for use in building multivariate calibration models based on partial least squares regression.

The quantitative structure properties relationships (QSPR) were combined with process parameters to establish response surface models for each homologue congener group based on partial least squares regression (PLSR).

Data on preference subjective judgments were collected and buttons acoustic signals were measured allowing the development of preference models based on partial least squares regression and neural networks methods.

On the basis of this protocol, the model was developed based on partial least squares regression (PLS) and the determination coefficient (R2cal and R2val), standard error of calibration and prediction (SEC and SEP) were 0.9962, 0.9955, 111.1 μg/mL and 107.1 μg/mL for Holographic Grating NIR instrument, and 0.9984, 0.9971, 53.6 μg/mL and 83.3 μg/mL for Fourier Transform NIR instrument.

In particular, two different machine learning strategies based on partial least-squares regression are developed: the first contains only linear terms that represent a given residue's independent contribution to fitness, the second contains additional nonlinear terms to account for potential epistatic coupling between residues.

SERS spectra for eight rotavirus strains were analyzed to qualitatively identify rotaviruses and to classify each according to G and P genotype and strain with >96% accuracy, and a quantitative model based on partial least squares regression analysis was evaluated.

It is based on partial least squares regression (PLSR) [ 26].