השוואת שיטות

	רגרסיה לוגיסטית מולטינומית	ניתוח מבחין
תחום	סטטיסטיקה	סטטיסטיקה
משפחה	Regression model	Latent structure
שנת המקור	1966–1974	1936
הוגה השיטה	Cox (1966); Theil (1969); formalized by McFadden (1974)	Ronald A. Fisher
סוג	Generalized linear model	Supervised classification and dimension reduction
מקור מכונן	Agresti, A. (2002). Categorical Data Analysis (2nd ed.). Wiley-Interscience. ISBN: 978-0471360933	Fisher, R. A. (1936). The use of multiple measurements in taxonomic problems. Annals of Eugenics, 7(2), 179–188.
כינויים	polytomous logistic regression, softmax regression, multinomial logit, nominal logistic regression	LDA, Fisher discriminant analysis, discriminant function analysis, canonical discriminant analysis
קשורות	4	4
תקציר	Multinomial logistic regression extends binary logistic regression to outcomes with three or more unordered categories. It models the log-odds of each category relative to a chosen reference category as a linear function of the predictors, and estimates all parameters simultaneously via maximum likelihood. It is the standard choice when the dependent variable is nominal with multiple levels.	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.