Regression model
零膨胀负二项回归 (ZINB)
零膨胀负二项 (Zero-Inflated Negative Binomial, ZINB) 回归是一种计数模型，由 Greene (1994) 提出，用于处理同时存在零值过多和过度分散的计数数据。它结合了一个产生结构性零值的二元膨胀过程和一个负二项计数过程，使其成为现实世界计数数据最广泛使用的分布之一。
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来源
- Greene, W. H. (1994). Accounting for Excess Zeros and Sample Selection in Poisson and Negative Binomial Regression Models. NYU Working Paper. link ↗
如何引用本页
ScholarGate. (2026, June 1). Zero-Inflated Negative Binomial (ZINB) Regression. ScholarGate. https://scholargate.app/zh/statistics/zero-inflated-negative-binomial
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- Beta回归统计学↔ compare
- 零值模型（Hurdle Model）统计学↔ compare
- 负二项回归计量经济学↔ compare
- 泊松回归与负二项回归计量经济学↔ compare
- 零膨胀泊松（ZIP）回归统计学↔ compare