Salīdzināt metodes

	Modelis ar pārmērīgu nulles vērtību skaitu	Šķēršļu modelis skaitīšanas datiem
Nozare	Statistika	Statistika
Saime	Regression model	Regression model
Izcelsmes gads	1992	1986
Autors	Diane Lambert	Mullahy
Tips	Count regression with excess zeros	Two-part count model
Pirmavots	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.
Citi nosaukumi	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)
Saistītās	6	5
Kopsavilkums	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.