Characteristics of multivariate SARIMA models using climate variables for the number of cases hospitalized with HFMD, HEV71-associated HFMD, Cox A16-associated HFMD.
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https://figshare.com/articles/dataset/_Characteristics_of_multivariate_SARIMA_models_using_climate_variables_for_the_number_of_cases_hospitalized_with_HFMD_HEV71_associated_HFMD_Cox_A16_associated_HFMD_/921700
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资源简介：
SARIMA: Seasonal Autoregressive Integrated Moving Average model, AR: autoregressive, MA: moving average, SAR: seasonal autoregressive. β: Coefficient, SE: Standard Error, R2: Stationary R-squared, BIC: Bayesian information criteria, P*: Ljung-Box test, RMSE: Root Mean Square Error, T{avg}-Lag2 weeks: average atmospheric temperature at lag 2 weeks, T{avg}-Lag3 weeks: average atmopheric temperature at lag 3 weeks.
创建时间：
2014-01-31
