functions are especially effective in the case of gulls (Laridae), allowing correct sexing from 90 to 100 % of individuals from different species (Mawhinney & Diamond 1999, Chochi et al.
analysis is a multivariate statistical method that can distinguish newly acquired samples according to the quantitative characteristics of the existing observational sample.
To ensure the validity and reliability of the measurement model, convergence validity and discriminant
validity were examined.
For this purpose, the standard Discriminant
Function Analysis module STATISTICA, intended for statistical analysis and data processing, was originally used.
Some widely used credit-scoring and risk rating models are, linear discriminant
analysis, logistic regression, option pricing model, KMV Expected Default Frequency model, and several new alternative approaches like survival analysis, machine-learning decision trees, neural networks, rough-set analysis, multi-dimensional scaling, self-organizing maps etc.
2] - 4x + 5 is solved using the quadratic formula, the discriminant
Enders (2003) suggested that linear discriminant
function analysis is a desirable analysis for evaluating multivariate group differences.
function analysis described by Dabholkar (1992) was used to construct the selection indices involving six characters, seed yield per plant ([X.
The objective of this study was to apply multivariate techniques, canonical discriminant
analysis, and multivariate contrasts, and indicate the most advantageous inferences in the evaluation of pure lines of beans.
2] test for multivariate analysis and discriminant
function analysis with SPSS.
Finally, we use frequentist linear discriminant
analysis to predict the age classes of harvested deer from their eye lens dry mass.
validity of the inventory, assessed with a sample of 200 doctors, revealed that it discriminated well between doctors with moderate to severe burnout and doctors with normal to mild burnout (pless than 0.