Linganisha mbinu

	Rega ya Kina cha Zero (ZINB)	Muundo wa kizuizi kwa data ya hesabu
Nyanja	Takwimu	Takwimu
Familia	Regression model	Regression model
Mwaka wa asili	1994	1986
Mwanzilishi	Greene (1994)	Mullahy
Aina	Count regression (mixture model)	Two-part count model
Chanzo asilia	Greene, W. H. (1994). Accounting for Excess Zeros and Sample Selection in Poisson and Negative Binomial Regression Models. NYU Working Paper.	Mullahy, J. (1986). Specification and Testing of Some Modified Count Data Models. Journal of Econometrics, 33(3), 341–365.
Majina mbadala	ZINB, ZINB regression, zero-inflated negative binomial model, Sıfır-Şişirilmiş Negatif Binom Regresyonu (ZINB)	hurdle count model, two-part count model, zero-truncated count model, Engel Modeli (Hurdle Model)
Zinazohusiana	5	5
Muhtasari	Zero-Inflated Negative Binomial regression is a count model, introduced by Greene (1994), that handles count data showing both an excess of zeros and overdispersion. It combines a binary inflation process that generates structural zeros with a negative binomial count process, making it one of the most widely used distributions for real-world count data.	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.