GLARMA negative binomial regression outperforms standard regression and time series models for forecasting malaria incidence counts in Mumbai.
Robust estimate for count time series using GLARMA models: An application to environmental and epidemiological data
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Count data modeling and forecasting of malaria incidence using generalized time series regression
GLARMA negative binomial regression outperforms standard regression and time series models for forecasting malaria incidence counts in Mumbai.