Sentence examples for multivariate method designed from inspiring English sources

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Grade of Membership (GoM) model [20] is a flexible, non-parametric, multivariate method, designed to identify health profiles.

Population structure within the INRA collection of T. turgidum was examined by applying the discriminant analysis of principal components DAPC, [ 49], a multivariate method designed to identify and describe clusters of genetically related individuals.

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In order to assess the relative contribution of each criterion to this discrimination, lymph node histology patterns were further analyzed by Multiple Correspondence Analysis (MCA), a multivariate statistical method designed to describe objects characterized by categorical variables [27] [29].

PCA is a multivariate projection method designed to extract systematic variation in data.

While multivariate methods are designed to study one set of samples, characterized by the response of many variables (= genes), multiway methods should be used to study several sets of samples, such as the four strains here.

These multivariate methods are designed to reveal groups of genetically related individuals directly from genetic polymorphism data, rather than on notions of existing structure that are reliant on the assumptions of HWE.

The impact of experimental variables namely pH, weight of sorbent, volume of 4% Triton X-114, eluting solution, and sample volume have been investigated and optimized in multivariate method using design Expert 7.0 software for statistical data analysis.

The BN-BMLA was proven to be superior over other multivariate methods using conditional models designed to detect associations between genotypic variables and the target variable.

Principal component regression (PCR) has been widely used as a multivariate method for data-based soft sensor design.

The wave functions for calculation of 13C nuclear magnetic shielding tensors of this molecule have been optimally selected using factorial design as a multivariate method.

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.

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