विधियों की तुलना करें

	गणना डेटा के लिए हर्डल मॉडल	शून्य-स्फीत पॉइसन (ZIP) प्रतिगमन
क्षेत्र	सांख्यिकी	सांख्यिकी
परिवार	Regression model	Regression model
उद्भव वर्ष	1986	1992
प्रवर्तक	Mullahy	Diane Lambert
प्रकार	Two-part count model	Count regression (two-component mixture)
मौलिक स्रोत	Mullahy, J. (1986). Specification and Testing of Some Modified Count Data Models. Journal of Econometrics, 33(3), 341–365.	Lambert, D. (1992). Zero-Inflated Poisson Regression, with an Application to Defects in Manufacturing. Technometrics, 34(1), 1–14.
उपनाम	hurdle count model, two-part count model, zero-truncated count model, Engel Modeli (Hurdle Model)	ZIP regression, zero-inflated count model, Sıfır-Şişirilmiş Poisson Regresyonu (ZIP)
संबंधित	5	4
सारांश	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.	Zero-Inflated Poisson regression is a two-component model for count data that contains more zeros than an ordinary Poisson model can explain. Introduced by Diane Lambert in 1992, it combines a logistic model for the zero-generating mechanism with a Poisson model for the genuine counting process.