方法证据记录
Zero-inflated model
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.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Zero-Inflated Count Regression Model
分类方法记录 · regression-model / statistics
- Lambert, D. (1992). Zero-inflated Poisson regression, with an application to defects in manufacturing. Technometrics, 34(1), 1–14. · DOI 10.2307/1269547
- Zero-inflated model. Wikipedia. · URL
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