विधियों की तुलना करें

	शून्य-स्फेतित मॉडल (Zero-Inflated Model)	सामान्यीकृत रेखीय मॉडल (GLM)
क्षेत्र	सांख्यिकी	सांख्यिकी
परिवार	Regression model	Regression model
उद्भव वर्ष	1992	1972
प्रवर्तक	Diane Lambert	John A. Nelder & Robert W. M. Wedderburn
प्रकार	Count regression with excess zeros	Regression framework
मौलिक स्रोत	Lambert, D. (1992). Zero-inflated Poisson regression, with an application to defects in manufacturing. Technometrics, 34(1), 1–14.	Nelder, J. A., & Wedderburn, R. W. M. (1972). Generalized linear models. Journal of the Royal Statistical Society: Series A (General), 135(3), 370–384.
उपनाम	ZIP model, ZINB model, zero-inflated Poisson, zero-inflated negative binomial	GLM, generalized regression, exponential family regression, link-function model
संबंधित	6	6
सारांश	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 Generalized Linear Model is a unified regression framework that extends ordinary linear regression to outcomes from the exponential family — including binary, count, proportion, and continuous positive outcomes. A link function connects the linear predictor to the mean of the response, enabling principled modelling beyond the Gaussian case.