Zero-inflated proportion data models applied to a biological control assay
By A. Vieira, John P. Hinde, Clarice G. B. Dem'etrio. 2000
96 citations recorded by the source corpus.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/70c6f17f2cd91fbf4ca253c4ceb1827d18775952
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In Statistics and Probability
- Jing Shen
- Kenneth S. Berenhaut
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- K. Fanti
Citations in the corpus
- A spatial zero-inflated poisson regression model for oak regeneration (2006, methodology): “Zero-inflated Poisson regression has been applied to model the numbers of sightings of a rare possum species (Welsh et al. 1996), numbers of insect pests on sugarcane (Vieira et al. 2000), and numbers of whiteflies on experimentally manipulated poinsettias (Van Iersel et al. 2000, 2001).”
- Robust Estimation for Zero‐Inflated Poisson Regression (2009, methodology): “A simulated envelope for this chi-square plot was constructed in the same way as is typically done in half normal plots (e.g. Vieira et al., 2000).”
- Score tests for heterogeneity and overdispersion in zero‐inflated Poisson and binomial regression models (2002, background): “Recently Ridout, Dem6trio & Hinde (2001) have presented a score test for testing a ZIP model against a ZINB alternative.”