Application of Mixture Models for Doubly Inflated Count Data
Author:
Affiliation:
1. Department of Mathematics, Indraprastha Institute of Information Technology, Delhi 110020, India
2. Department of Mathematics and Statistics, Old Dominion University, Norfolk, VA 23529-0077, USA
Abstract
Publisher
MDPI AG
Link
https://www.mdpi.com/2813-2203/2/1/14/pdf
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4. Random effect models for repeated measures of zero-inflated count data;Min;Stat. Model.,2005
5. Zero-inflated Poisson regression with random effects to evaluate an occupational injury prevention programme;Yau;Stat. Med.,2001
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