JSTOR Daily

Some Linear Transformations for Mixtures of Binary and Continuous Variables, with Particular Reference to Linear Discriminant Analysis

Suitable linear transformations for preliminary data analysis are available when data consist solely of continuous variables or solely of binary variables. When mixtures of variables are observed, ...
Nature

Diagnostic ability of a linear discriminant function for optic nerve head parameters measured with optical coherence tomography for perimetric glaucoma

To calculate and validate a linear discriminant function (LDF) for optical coherence tomography (OCT) to improve the diagnostic ability of isolated optic nerve head (ONH) parameters to discriminate ...
Nature

Application of linear discriminant analysis to the biochemical and haematological differentiation of opiate addicts from healthy subjects: a case–control study

Objective: Biochemical and haematological parameters of nutritional interest were determined in the serum of opiate addicts in order to compare them with those obtained in healthy subjects. Linear ...
JSTOR Daily

A direct approach to sparse discriminant analysis in ultra-high dimensions

Sparse discriminant methods based on independence rules, such as the nearest shrunken centroids classifier (Tibshirani et al., 2002) and features annealed independence rules (Fan & Fan, 2008), have ...
Simon Fraser University

TYPE=LINEAR Data Sets

A TYPE=LINEAR data set contains the coefficients of a linear function of the variables in observations with _TYPE_='LINEAR'. The DISCRIM procedure stores linear discriminant function coefficients in a ...