Compară metode
Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.
| Regresia Poisson cu Inflație de Zero (ZIP)× | Regresie binomială negativă× | |
|---|---|---|
| Domeniu≠ | Statistică | Econometrie |
| Familie | Regression model | Regression model |
| Anul apariției≠ | 1992 | 2011 |
| Autorul original≠ | Diane Lambert | Hilbe (textbook treatment); generalized linear model framework |
| Tip≠ | Count regression (two-component mixture) | Generalized linear model for count data |
| Sursa seminală≠ | Lambert, D. (1992). Zero-Inflated Poisson Regression, with an Application to Defects in Manufacturing. Technometrics, 34(1), 1–14. DOI ↗ | Hilbe, J. M. (2011). Negative Binomial Regression (2nd ed.). Cambridge University Press. DOI ↗ |
| Denumiri alternative | ZIP regression, zero-inflated count model, Sıfır-Şişirilmiş Poisson Regresyonu (ZIP) | NB regression, NB2 regression, negatif binom regresyonu |
| Înrudite | 4 | 4 |
| Rezumat≠ | 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. | Negative Binomial Regression is a generalized linear model for count outcomes that extends Poisson regression to handle overdispersion, where the variance of the counts exceeds their mean. Developed in the GLM tradition and treated in depth by Hilbe (2011), it adds a dispersion parameter so that inference stays valid when Poisson would understate the spread of the data. |
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