Methods for discriminant analysis were compared with respect to classification accuracy under nonnormality through Monte Carlo simulation. The methods compared were linear discriminant analyses based both on raw scores and on ranks; linear logistic discrimination; and mixture discriminant analysis. Linear discriminant analysis and linear logistic discrimination were suboptimal in a number of sc...

This article investigates (a) whether register discrimination can successfully exploit linguistic information reflecting the evolution of a language (such as the diglossia phenomenon of the Modern Greek language) and (b) what kind of linguistic information and which statistical techniques may be employed to distinguish among individual styles within one register. Using clustering techniques and...

Most of the existing gait recognition methods rely on a single view, usually the side view, of the walking person. This paper investigates the case in which several views are available for gait recognition. It is shown that each view has unequal discrimination power and, therefore, should have unequal contribution in the recognition process. In order to exploit the availability of multiple view...

In the present study, statistical methods based on multivariate analyses such as the Descriptive Discriminant Analysis (DDA) and Principal Component Analysis (PCA) were applied to determine relationships between particle sizes and the composition of the associated semi-volatile compounds, in addition to evaluating these observations in relation to the emission sources, study areas, sampling cam...

This paper aims to explore the consumers buying behaviour towards organic wine in Southern Europe and more precisely in Greece. The study attempts to compare its results with other studies concerning Northern European Consumers’ attitudes shedding light in potential differences. Field interviews conducted in a randomly selected sample consisted of 510 consumers in November and December of 2013,...

In histomorphometrical investigations of bone tissue modeling around screw-shaped implants, the manual measurements of bone area and bone-implant contact length around the implant are time consuming and subjective. In this paper we propose an automatic image analysis method for such measurements. We evaluate different discriminant analysis methods and compare the automatic method with the manua...

The feasibility of near infrared spectroscopy (NIRS) for discrimination between mature vinegar of different geographical origins (Taiyuan and Qingxu, China) is presented in this research. NIR spectra were collected in transmission mode in the wavelength range of 800–2500 nm. Qualitative analysis models were developed based on Principal Component Analysis (PCA) and Discriminant Analysis (DA). Th...

This descriptive study was aimed at: 1.) investigating the users’ opinions about an instrument for patient classification; 2.) analyzing the healthcare indicators that most contribute to classify patients in the healthcare categories. A questionnaire was used to collect the opinions of 24 users. The classification instrument was applied on 796 patients in a medical school hospital in the state ...

Factor analysis and discriminant analysis are often used as complementary approaches to identify linear components in two dimensional data arrays. For three dimensional arrays, which may organize data in dimensions such as space, time, and trials, the opportunity arises to combine these two approaches. A new method, Bilinear Discriminant Component Analysis (BDCA), is derived and demonstrated in...