One of the challenging issues for investors and professionals is appropriate models to evaluate financial situation of the firms. In this regard, many models have been extracted by researchers using different financial ratios to resolve these issues. However, choosing a model based on the conditions and users’ needs is complex. The main objective of this study is to identify the effect of conti...

An integrated sequence of multivariate techniques was applied to the vegetation of the western Great Smoky Mountains National Park. Included in the sequence were hierarchial classification, detrended correspondence analysis and multiple discriminant analysis. Based on the importance of landform in previous research, a system of topographical quantification was developed and also used in the cla...

OBJECTIVE Primary aldosteronism (PA) is the most common endocrine cause of curable hypertension, but no single test unequivocally identifies it. Accordingly, we investigated the usefulness of a logistic multivariate discriminant analysis (MDA) approach for PA screening. DESIGN Generation of a logistic MDA function based on retrospective analysis of biochemical tests in a large cohort of refer...

Mixture discriminant analysis (MDA) has gained applications in a wide range of engineering and scientific fields. In this paper, under the paradigm of MDA, we propose a two-way Gaussian mixture model for classifying high dimensional data. This model regularizes the mixture component means by dividing variables into groups and then constraining the parameters for the variables in the same group ...