विधियों की तुलना करें

	बेयसियन टोबिट मॉडल	टोबिट सेंसरित प्रतिगमन मॉडल
क्षेत्र	सांख्यिकी	अर्थमिति
परिवार	Regression model	Regression model
उद्भव वर्ष	1958 (classical); 1992 (Bayesian formulation)	1958
प्रवर्तक	James Tobin (classical Tobit, 1958); Siddhartha Chib (Bayesian Tobit, 1992)	James Tobin
प्रकार	Bayesian censored/limited-dependent-variable regression	Censored regression (limited dependent variable)
मौलिक स्रोत	Tobin, J. (1958). Estimation of relationships for limited dependent variables. Econometrica, 26(1), 24–36.	Tobin, J. (1958). Estimation of Relationships for Limited Dependent Variables. Econometrica, 26(1), 24-36.
उपनाम	Bayesian censored regression, Bayesian Type I Tobit, Bayesian truncated regression, Tobit with priors	censored regression, limited dependent variable model, Tobit Modeli (Sansürlü Regresyon)
संबंधित	5	4
सारांश	The Bayesian Tobit model extends Tobin's censored regression framework by replacing maximum-likelihood point estimates with a full posterior distribution over regression coefficients and error variance. By embedding Gibbs sampling with data augmentation, it produces credible intervals, handles small censored samples gracefully, and naturally incorporates prior knowledge about effect sizes.	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.