JSTOR Daily

Comparison of Linear and Quadratic Discriminant Functions

Asymptotic expansions of the distributions of the linear and the quadratic discriminant functions are derived. The expected misclassification probabilities of these two functions are compared when the ...
JSTOR Daily

Sexing Birds Using Discriminant Function Analysis: A Critical Appraisal - Identification du sexe des oiseaux par analyse factorielle discriminante: une évaluation critique

This is a preview. Log in through your library . Abstract Abstract.—Discriminant function analysis (DFA) based on morphological measurements is a quick, inexpensive, and efficient method for sex ...
CU Boulder News & Events

Dimension Reduction and Classification Using PCA, Factor Analysis and Discriminant Functions - A Short Overview

Tuesday, October 28: Often researchers are faced with data in very high dimensions (e.g. too many predictors for a regression model), or must come up with a rule to classify data in pre-determined ...
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 ...
BMJ

Identifying college athletes at risk for pathogenic eating

Objectives: To evaluate the effectiveness of a discriminant function that predicts risk of pathogenic eating in comparison with a standard self report measure (EAT) and a clinical interview. In ...
Simon Fraser University

Example 25.3: Normal-Theory Discriminant Analysis of Iris Data

Example 25.3: Normal-Theory Discriminant Analysis of Iris Data In this example, PROC DISCRIM uses normal-theory methods to classify the iris data used in Example 25.1. The POOL=TEST option tests the ...