পদ্ধতির তুলনা করুন

	জিরো-ইনফ্লেটেড নেগেটিভ বাইনোমিয়াল (ZINB) রিগ্রেশন	গণনা তথ্যের জন্য হার্ডল মডেল
ক্ষেত্র	পরিসংখ্যান	পরিসংখ্যান
পরিবার	Regression model	Regression model
উদ্ভবের বছর	1994	1986
প্রবর্তক	Greene (1994)	Mullahy
ধরন	Count regression (mixture model)	Two-part count model
মৌলিক উৎস	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.
অপর নাম	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)
সম্পর্কিত	5	5
সারসংক্ষেপ	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.