Comparer des méthodes

	Modèle à inflation de zéros	Modèle à seuil pour données de comptage
Domaine	Statistique	Statistique
Famille	Regression model	Regression model
Année d'origine	1992	1986
Auteur d'origine	Diane Lambert	Mullahy
Type	Count regression with excess zeros	Two-part count model
Source fondatrice	Lambert, D. (1992). Zero-inflated Poisson regression, with an application to defects in manufacturing. Technometrics, 34(1), 1–14.	Mullahy, J. (1986). Specification and Testing of Some Modified Count Data Models. Journal of Econometrics, 33(3), 341–365.
Alias	ZIP model, ZINB model, zero-inflated Poisson, zero-inflated negative binomial	hurdle count model, two-part count model, zero-truncated count model, Engel Modeli (Hurdle Model)
Apparentées	6	5
Résumé	A zero-inflated model is a two-component mixture regression designed for count outcomes that contain more zero values than a standard Poisson or negative binomial distribution can accommodate. One component is a binary process that generates structural zeros; the other is a count process that generates both zeros and positive counts.	The hurdle model is a two-part count-data model introduced by Mullahy (1986). A first stage models the binary choice of crossing a hurdle (a zero versus a non-zero count), and a second stage models the strictly positive counts with a zero-truncated distribution such as a zero-truncated Poisson or negative binomial.