विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| शून्य-स्फेतित मॉडल (Zero-Inflated Model)× | गणना डेटा के लिए हर्डल मॉडल× | |
|---|---|---|
| क्षेत्र | सांख्यिकी | सांख्यिकी |
| परिवार | Regression model | Regression model |
| उद्भव वर्ष≠ | 1992 | 1986 |
| प्रवर्तक≠ | Diane Lambert | Mullahy |
| प्रकार≠ | Count regression with excess zeros | Two-part count model |
| मौलिक स्रोत≠ | Lambert, D. (1992). Zero-inflated Poisson regression, with an application to defects in manufacturing. Technometrics, 34(1), 1–14. DOI ↗ | Mullahy, J. (1986). Specification and Testing of Some Modified Count Data Models. Journal of Econometrics, 33(3), 341–365. DOI ↗ |
| उपनाम | ZIP model, ZINB model, zero-inflated Poisson, zero-inflated negative binomial | hurdle count model, two-part count model, zero-truncated count model, Engel Modeli (Hurdle Model) |
| संबंधित≠ | 6 | 5 |
| 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 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. |
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