Σύγκριση μεθόδων

	Διακριτική Ανάλυση	Λογιστική Παλινδρόμηση
Πεδίο	Στατιστική	Ερευνητική Στατιστική
Οικογένεια	Latent structure	Process / pipeline
Έτος προέλευσης	1936	1958
Δημιουργός	Ronald A. Fisher	David Roxbee Cox
Τύπος	Supervised classification and dimension reduction	Method
Θεμελιώδης πηγή	Fisher, R. A. (1936). The use of multiple measurements in taxonomic problems. Annals of Eugenics, 7(2), 179–188.	Cox, D. R. (1958). The regression analysis of binary sequences. Journal of the Royal Statistical Society, Series B, 20(2), 215–242.
Εναλλακτικές ονομασίες	LDA, Fisher discriminant analysis, discriminant function analysis, canonical discriminant analysis	logit model, binomial logistic regression, LR
Συναφείς	4	3
Σύνοψη	Discriminant analysis finds linear combinations of predictor variables that best separate two or more known groups. It is used both to understand which predictors distinguish the groups and to classify new observations into those groups with minimum error.	Logistic regression is a statistical method for modeling the probability of a binary outcome (disease present/absent, success/failure) as a function of continuous and categorical predictors. Developed by David Roxbee Cox (1958), it solves the problem of predicting categorical outcomes by applying a logistic transformation to constrain predictions to the [0,1] probability interval, enabling accurate risk stratification, diagnostic prediction, and causal inference in epidemiology, medicine, and social science.