Sentence examples for discriminant analyzes from inspiring English sources
For kinematic variables correlated with age, residuals calculated from a linear regression with age were used in the analyses for group differences and the linear discriminant analyzes.
For each analyses of variance and discriminant analyzes of shape, we therefore used the N first components of the PCA that maximize the variability between the a priori defined groups.
Discriminant analysis analyzes the covariance between independent variables, or whether the variables change together or not.
The discriminant validity analyzed through Multitrait-Multimethod analysis demonstrated that the collinear relationship between the items and their respective dimensions (results for the majority of items) were higher or significantly higher than the relationship with the dimensions to which they did not belong.
To reduce levels of false positives, Tabaska & Zhang (1999) [ 14] have developed a quadratic discriminant function that analyzes both the poly(A) signal and sequence biases in the DSE region.
However, Multilinear Discriminant Analysis cannot analyze multiple factor frameworks, while our proposed Multifactor Discriminant Analysis can.
Discriminant validity was analyzed comparing the squared correlation between factors with the AVE of each factor.
The third precondition to consider the measurement model as a valid one is to analyze discriminant validity.
Like multilinear subspace methods, Multifactor Discriminant Analysis can analyze one sample in a multiple factor framework, which improves face recognition performance.
While designing the novel discriminant function, we analyzed the underlying relationship between the characteristics of data and accuracy of decision stump classifier.
In order to analyze discriminant validity, a multi-dimensional Rasch analysis was applied to examine the empirical separability (i.e., empirical structure) of the measures which form the dependent variables of our study (ACCEPTANCE and INTENTION measure) as well as the measures which the predictors of the affective domain (Astley and Francis [2010]).
