So sánh phương pháp

	Hồi quy nhị thức âm mạnh mẽ	Mô hình lạm phát số không
Lĩnh vực	Thống kê	Thống kê
Họ	Regression model	Regression model
Năm ra đời	2000s–2011	1992
Người khởi xướng	Hilbe, J. M.; Zeileis, A. et al.	Diane Lambert
Loại	Count regression with robust inference	Count regression with excess zeros
Công trình gốc	Hilbe, J. M. (2011). Negative Binomial Regression (2nd ed.). Cambridge University Press. ISBN: 978-0521198158	Lambert, D. (1992). Zero-inflated Poisson regression, with an application to defects in manufacturing. Technometrics, 34(1), 1–14.
Tên gọi khác	robust NB regression, negative binomial regression with robust standard errors, sandwich-corrected negative binomial regression, NB2 robust regression	ZIP model, ZINB model, zero-inflated Poisson, zero-inflated negative binomial
Liên quan	6	6
Tóm tắt	Robust Negative Binomial Regression models overdispersed count outcomes using the negative binomial distribution while protecting coefficient inference against misspecification of the variance function. It pairs maximum-likelihood estimation of the mean and dispersion parameters with sandwich (Huber-White) standard errors, yielding valid tests even when the assumed variance structure is only approximately correct.	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.