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Zero-Inflated Poisson Regression/Evidence
Method evidence record

Zero-Inflated Poisson Regression

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.

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Source record

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Zero-Inflated Poisson Regression (ZIP)
Taxonomic method record · 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
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Related methods

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See alsoLogistic Regressionmachine-suggested · Relational suggestion, not evidence.Same method familyNegative Binomial Regressionmachine-suggested · Relational suggestion, not evidence.Same method familyPoisson Regressionmachine-suggested · Relational suggestion, not evidence.Same method familyZero-Inflated Negative Binomial Regressionmachine-suggested · Relational suggestion, not evidence.

Evidence status

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Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

1 recorded citation, copied from the method source record.

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