Tests for discriminant functions

Recursive Partitioning via Discriminant Functions for Rating

Aim of this paper is to propose a nonparametric method for the rating of financial stocks, such as Mutual Funds, Corporates, Equities etc. To this purpose, we refer to a procedure based on the joint use of linear discriminant analysis and tree based recursive partitioning. This method is applied when dealing with large sets of within-groups correlated covariates in order to overcome the dimensi...

Unsupervised learning for nonlinear synthetic discriminant functions

It has been shown in previous work5,12 that the family of filters which includes the minimum average correlation energy (MACE) filter7 can be formulated as a linear associative memory (LAM)3 preceded by a linear pre-processor which changes depending on the optimization criterion. We have presented a methodology by which the MACE filter and other synthetic discriminant function6 (SDF) filters ca...

Network Multiple Station Discriminant Functions

Robustness, Power and Interpretability of Pairwise Tests of Discriminant Functions in MANOVA

Discriminant value of thyroid function tests.

Different thyroid function tests permitted a final classification of 204 consecutive patients with suspected thyroid disorders into three populations (thyrotoxic, euthyroid, and hypothyroid). Linear discriminant analysis was applied to all test results (10 variates) on adjacent population pairs. Two invitro tests (serum protein bound iodine (P.B.I.) and tri-iodothyronine (T-3) uptake values) ga...