A score test for testing a zero-inflated Poisson regression model against zero-inflated negative binomial alternatives
A score test for testing a zero-inflated Poisson regression model against zero-inflated negative binomial alternatives
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DOI：
10.1111/j.0006-341x.2001.00219.x
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发表时间：
2001-03-01
期刊：
影响因子：
1.9
通讯作者：
Demétrio, CGB
中科院分区：
文献类型：
--
作者：
Ridout, M;Hinde, J;Demétrio, CGB
计数数据通常比泊松分布的数据显示更高的零计数发生率。对于这类数据，零膨胀泊松回归模型是一类有用的模型，但如果非零计数相对于泊松分布过于分散，则参数估计可能会严重偏倚。因此，我们提供了一个分数检验来检验零膨胀泊松回归模型对零膨胀负二项选择的影响。
Count data often show a higher incidence of zero counts than would be expected if the data were Poisson distributed. Zero-inflated Poisson regression models are a useful class of models for such data, but parameter estimates may be seriously biased if the nonzero counts are overdispersed in relation to the Poisson distribution. We therefore provide a score test for testing zero-inflated Poisson regression models against zero-inflated negative binomial alternatives.