Krahasoni metodat

	Modeli Tobit i Regresionit të Censuruar	Regresioni logjistik
Fusha	Ekonometri	Statistika e hulumtimit
Familja	Regression model	Process / pipeline
Viti i origjinës	1958	1958
Krijuesi	James Tobin	David Roxbee Cox
Lloji	Censored regression (limited dependent variable)	Method
Burimi themelues	Tobin, J. (1958). Estimation of Relationships for Limited Dependent Variables. Econometrica, 26(1), 24-36.	Cox, D. R. (1958). The regression analysis of binary sequences. Journal of the Royal Statistical Society, Series B, 20(2), 215–242.
Emërtime të tjera	censored regression, limited dependent variable model, Tobit Modeli (Sansürlü Regresyon)	logit model, binomial logistic regression, LR
Të lidhura	4	3
Përmbledhja	The Tobit model is a regression for outcomes that are censored at a threshold, estimating the relationship by maximum likelihood. Introduced by James Tobin in 1958, it addresses the pile-up of observations at a limit (typically zero) in data such as spending, wages, or duration.	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.