Statistical Inference in Marginalized Zero-inflated Poisson Regression Models with Missing Data in Covariates
Author:
Publisher
Allerton Press
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
https://link.springer.com/content/pdf/10.3103/S1066530723040038.pdf
Reference30 articles.
1. D. Lambert, “Zero-inflated Poisson regression with an application to defects in manufacturing,” Technometrics 34, 1–14 (1992).
2. D. Lambert, ‘‘Zero-inflated Poisson regression with an application to defects in manufacturing,’’ Technometrics 34, 1–14 (1992).
3. E. Dietz and D. Böhning, ‘‘On estimation of the Poisson parameter in zero-modified Poisson models,’’ Comput. Stat. Data Anal. 4, 441–459 (2000).
4. K. K. W. Yau and A. H. Lee, ‘‘Zero-inflated Poisson regression with random effects to evaluate an occupational injury prevention programme,’’ Stat. Med. 20, 2907–2920 (2001).
5. A. O. Diallo, A. Diop, and J.-F. Dupuy, ‘‘Asymptotic properties of themaximum likelihood estimator in zero-inflated binomial regression,’’ Commun. Stat. Theory Methods 46 (20), 9930–9948 (2017).
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