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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...

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Detaylı Bibliyografya
Asıl Yazarlar: Briët, Olivier J. T., Amerasinghe, Priyanie H., Vounatsou, Penelope
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Public Library of Science 2013
Konular:
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC3681978/
https://ncbi.nlm.nih.gov/pubmed/23785448
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0065761
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