A comparison of zero-inflated and hurdle models for modeling zero-inflated count data
Abstract Counts data with excessive zeros are frequently encountered in practice. For example, the number of health services visits often includes many zeros representing the patients with no utilization during a follow-up time. A common feature of this type of data is that the count measure tends t...
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| Format: | Article |
| Language: | English |
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SpringerOpen
2021-06-01
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| Series: | Journal of Statistical Distributions and Applications |
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| Online Access: | https://doi.org/10.1186/s40488-021-00121-4 |