2 Classification of One-Dimensional Data 2 2.1 Linear Discriminant Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 2.1.1 Building the LDA Classifier . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 2.1.2 Results of One-Dimensional LDA Classification . . . . . . . . . . . . . . . . . . . . . . 4 2.2 Quadratic Discriminant Analysis . . . . . ....

Pragmatic competence is one of the most important components of successful communication; also, it is the most difficult aspect of SLA. This study aimed to explore the effects of concurrent group dynamic assessment (G-DA) on Iranian EFL learners’ learning of requests and refusals, following a mixed method design. In the experimental part of the study, 2 intact classes were homogenized by a pret...

background: melatonin has receptors in substantia nigra pars compacta (snc) and regulates development of dopaminergic (da) neurons. this study was undertaken to determine ability of melatonin to protect snc dopaminergic neuron loss induced by estrogen deficiency in ovariectomized rats. methods: female rats were randomized into four groups of seven each: control, ethanol sham, ovariectomy (ovx) ...

Quadratic discriminant analysis (QDA) is a widely used statistical tool to classify observations from different multivariate Normal populations. The generalized quadratic (GQDA) classification rule/classifier, which generalizes the QDA and minimum Mahalanobis distance (MMD) classifiers discriminate between populations with underlying elliptically symmetric distributions competes quite favorably...

Summary Functional linear discriminant analysis provides a simple yet efficient method for classification, with the possibility of achieving perfect classification. Several methods have been proposed in literature that mostly address dimensionality problem. On other hand, there is growing interest interpretability analysis, which favours and sparse solution. In this paper we propose new approac...