Score tests for zero-inflated Poisson models
By N. Jansakul, John P. Hinde. 2002
136 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/005f1bd15cb6238e69dda053b5d48bf01b121e0b
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In Artificial Intelligence
In Statistics and Probability
- Alan Agresti
- Kazem Mohammad
- Abbas Moghimbeigi
- Mohammed Reza Eshraghian
- Yongyi Min
- Brian McArdle
- Marco Alfò
- Antonello Maruotti
Citations in the corpus
- Random effect models for repeated measures of zero-inflated count data (2005, methodology): “However, when we used both van den Broek (1995) and Jansakul and Hinde (2002) score tests on our 1000 simulated data sets, all of them revealed evidence of zero inflation (P-value < 0:05 in each case). This simulation study tells us that even when a test shows significant evidence of zero inflation,”
- Multilevel zero-inflated negative binomial regression modeling for over-dispersed count data with extra zeros (2008, background): “In the literature, some tests for testing ZIP in independent [4,8,19] and correlated data [23] have been developed.”