Discriminate analysis, a means of determining discrimination between two or more groups, was used along with principal component analysis to rank bone surfaces using statistics captured from populations using IDAS software [ 16].
In the past researches of financial crisis early-warning model, multiple regression, linear probability model, and multiple discriminate analysis are commonly adopted, all of which have generated good discrimination effects, with over 90% accuracy.
Principal components analysis and multiple discriminate analysis were used to identify shelterbelt characters by species.
The factor scores of each districts are then used as input for cluster analysis and discriminate analysis.
To evaluate the reliability of the model, the data were examined with genetic algorithm and Multivariate discriminate analysis method.
Discriminate analysis showed that the linear combination of acid and alkaline phosphatase activity, fungal CFUs, and SIR were respectively the most effective variables to differentiate the treatments.
A PLS discriminate analysis model was developed which perfectly classified reactor type for the three PWR and three BWR reactor designs studied.
Topics include multivariate analysis of variance (MANOVA), principal components analysis, cluster analysis (hierarchical clustering, k-means), canonical correlation, multidimensional scaling ordination methods, discriminate analysis, factor analysis, and structural equations modeling.
In the present work, in order to analyze and predict the melatonin excretion patterns in the rat exposed to extremely low frequency magnetic fields (ELF-MF), linear discriminate analysis (LDA) and support vector machines (SVMs) were utilized.
Factorial designs and discriminate analysis were used to evaluate the influence of pressure, temperature, pH, time and aqueous ethanol solution on the total extraction yield and the isorhamnetin recovery using the enzymes Rapidase Maxi Fruit (RMF) and Viscozyme.
