Sentence examples for multifactor analysis risk from inspiring English sources

"Judicial attempts to fashion a civil definition of 'minister' through a bright-line test or multifactor analysis risk disadvantaging those religious groups whose beliefs, practices and membership are outside of the 'mainstream' or unpalatable to some".

The multifactor analysis of this study identified age, liver and cardiac involvement as independent prognostic risk factors.

The lack of a statistically important impact of classic cardiovascular risk factors on IL-2 scintigraphy in the current study in the first place resulted from a relatively small effect of the single factor in cardiovascular risk and the small groups for statistically important results in multifactor analysis.

Multifactor Discriminant Analysis can be thought of as an extension of LDA to multiple factor frameworks providing both multifactor analysis and discriminant analysis.

This seems to be because Multifactor Discriminant Analysis offers the combined virtues of both multifactor analysis methods and discriminant analysis methods.

In this paper, we separately address the advantages and disadvantages of multifactor analysis and discriminant analysis and propose Multifactor Discriminant Analysis (MDA) by synthesizing both methods.

Moreover, Multifactor Discriminant Analysis (MDA), like MPCA, uses multifactor analysis and calculates subject parameters that represent the characteristics of subjects and are invariant to other changes, such as viewpoints or lighting conditions.

Section 3 first addresses the advantages and disadvantages of multifactor analysis and discriminant analysis individually, and then Section 4 proposes MDA with the combined virtues of both methods.

MDA can be thought of as an extension of LDA to multiple factor frameworks providing both multifactor analysis and discriminant analysis.

Statistical design of experimental methodology based on Taguchi orthogonal design has been used to study and optimize various parameters using multifactor analysis of variance (ANOVA).

It deals with the factorial experiments that are carried out within blocks, an analog of the multifactor analysis of variance (ANOVA), and classifies repeated measures designs by the number of between-subject and within-subject factors.