Zero‐inflated modeling part I: Traditional zero‐inflated count regression models, their applications, and computational tools
Author:
Affiliation:
1. Dr. Bing Zhang Department of Statistics University of Kentucky Lexington Kentucky USA
2. Merck Research Laboratories Upper Gwynedd Pennsylvania USA
Publisher
Wiley
Subject
Statistics and Probability
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/wics.1541
Reference140 articles.
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3. Two-part regression models for longitudinal zero-inflated count data
4. Zero‐Inflated Modeling of Fish Catch per Unit Area Resulting from Multiple Gears: Application to Channel Catfish and Shovelnose Sturgeon in the Missouri River
5. Baetschmann G.&Winkelmann R.(2012).Modelling zero‐inflated count data when exposure varies: With an application to sick leave. Technical Report 61 Department of Economics University of Zurich.
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