Comparative study of four time series methods in forecasting typhoid fever incidence in China

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Comparative study of four time series methods in forecasting typhoid fever incidence in China is …
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scholarly articleQ13442814

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P819ADS bibcode2013PLoSO...863116Z
P356DOI10.1371/JOURNAL.PONE.0063116
P932PMC publication ID3641111
P698PubMed publication ID23650546
P5875ResearchGate publication ID236644248

P50authorAlistair YoungQ42645633
P2093author name stringTao Zhang
Min Yang
Yuanyuan Liu
Xiaosong Li
Xingyu Zhang
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Epidemiological model of typhoid fever and its use in the planning and evaluation of antityphoid immunization and sanitation programmesQ36720491
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Dynamic linear model and SARIMA: a comparison of their forecasting performance in epidemiologyQ40682592
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Box-Jenkins modelling of some viral infectious diseasesQ41361249
Time-series analysis of meningococcal disease in Catalonia.Q44170819
A statistical analysis of the seasonality in pulmonary tuberculosis.Q50665142
A maze learning comparison of Elman, long short-term memory, and Mona neural networks.Q51772728
Learning without local minima in radial basis function networks.Q52210696
On the efficiency of the orthogonal least squares training method for radial basis function networks.Q52313941
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P275copyright licenseCreative Commons Attribution 4.0 InternationalQ20007257
P6216copyright statuscopyrightedQ50423863
P433issue5
P407language of work or nameEnglishQ1860
P921main subjectPeople's Republic of ChinaQ148
typhoid feverQ83319
P304page(s)e63116
P577publication date2013-05-01
P1433published inPLOS OneQ564954
P1476titleComparative study of four time series methods in forecasting typhoid fever incidence in China
P478volume8

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