Comparative Study of Four Time Series Methods in Forecasting Typhoid Fever Incidence in China

PLoS ONE

Volumn 8, Issue 5, 2013, Pages

  Zhang, Xingyu ^a   Liu, Yuanyuan ^a   Yang, Min ^b   Zhang, Tao ^a   Young, Alistair A ^c   Li, Xiaosong ^a  

^a SICHUAN UNIVERSITY   (China)

^b UNIVERSITY OF NOTTINGHAM   (United Kingdom)

^c UNIVERSITY OF AUCKLAND   (New Zealand)

Author keywords

[No Author keywords available]

Indexed keywords

ANALYTICAL PARAMETERS; ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPARATIVE STUDY; COMPUTER MODEL; CONTROLLED STUDY; ELMAN RECURRENT NEURAL NETWORKS; FORECASTING; HUMAN; INCIDENCE; MEAN ABSOLUTE ERROR; MEAN ABSOLUTE PERCENTAGE ERROR; MEAN SQUARE ERROR; RADIAL BASIS FUNCTION NEURAL NETWORKS; SEASONAL AUTOREGRESSIVE INTEGRATED MOVING AVERAGE MODEL; TIME SERIES ANALYSIS; TYPHOID FEVER; ALGORITHM; CHINA; PROCEDURES; STATISTICAL ANALYSIS; STATISTICAL MODEL;

ALGORITHMS; CHINA; DATA INTERPRETATION, STATISTICAL; FORECASTING; HUMANS; INCIDENCE; MODELS, STATISTICAL; NEURAL NETWORKS (COMPUTER); TYPHOID FEVER;

EID: 84877049969     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0063116     Document Type: Article

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