Linear Discriminant Analysis Versus Logistic Regression: A Comparison of Classification Errors in the Two-Group Case

By Pui‐wa Lei, L. Koehly. 2003

79 citations recorded by the source corpus.

Subfields: Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/661d4135e9720d29f83c74ddd58b389c73258d0d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Statistics and Probability

1. Isabel Santana
2. Dina Silva
3. Manuela Guerreiro
4. Ana Rodrigues
5. João Maroco
6. A. de Mendonça

Citations in the corpus

• Data mining methods in the prediction of Dementia: A real-data comparison of the accuracy, sensitivity and specificity of linear discriminant analysis, logistic regression, neural networks, support vector machines, classification trees and random forests (2011, background): “However, controversy still prevails regarding the effects on classifiers ’ performance of different combinations of predictors, data assumptions, sample sizes and parameters tuning [16,17,31,58,69,70].”