Generalized seasonal autoregressive integrated moving average models for count data with application to malaria time series with low case numbers
Introduction: With the renewed drive towards malaria elimination, there is a need for improved surveillance tools. While time series analysis is an important tool for surveillance, prediction and for measuring interventions' impact, approximations by commonly used Gaussian methods are prone to inacc...
| Main Authors: | , , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Public Library of Science
2013
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/40218 |
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