Sentence examples for regression quantification from inspiring English sources

We demonstrate applications in linear regression, quantification of phylogenetic signal, and measurement error models.

Linear regression allowed quantification of the best regression line and derive a predictive equation for the relationship.

Researchers have attempted to build models explaining the relationship between design variables of consumer products and affective user satisfaction using statistical multivariate analysis techniques such as linear regression and quantification theory.

In order to estimate the rate of cell regression, cell quantification was performed and the percentage of cell gain or loss between days 0 and 14 was determined.

Using nonparametric hypothesis testing and complementary log log linear regression, the quantifications of a subset of 21 proteins common to all lots and including approximately 90% (85 92%) of the total protein amount quantified in any DOMV lot were found consistent across lots.

The data obtained were treated using advanced chemometric tools like Principal Component Analysis (PCA) and Soft Independent Modeling Class Analogy (SIMCA) for the classification of the wine mixtures and Partial Least Squares (PLS) regression for the quantification of the grape variety composition.

Both visual inspection of the regression model and quantification with ISO study data indicated large inter-individual variation of isoflavone plasma concentrations at this intake range.

They identified three RNAs associated with complete response (miR-16, miR-153, and miR-590-5p miR-590-5p miR-590-5p tumor remploying grade for quantification and two (Mansardc-3p and miR-561) that predicted good versus poor response, with exactness close to 100%.

Unlike classification or clustering, regression is used in quantification of particular dependent variables (expected outcome of the experiment).

Table inset shows regression coefficients for the quantification from different sample matrices.

A general work-flow for building and assessing chemometric regression models for the quantification of multiple analytes in bioprocesses by FTIR spectroscopy is given.