Comparison of prediction effects of four time series models on mumps incidence rate in Jiangxi province
ObjectiveCompare the prediction effects of the seasonal autoregressive integrated moving average (SARIMA), exponential smoothing (ETS), trigonometric box-cox transform, ARMA residuals, trend, and seasonal components (TBATS), and neural network autoregressive (NNAR) time series models on mumps incide...
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| Автори: | , , , , |
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| Формат: | Книга |
| Опубліковано: |
Editorial Office of Chinese Journal of Public Health,
2024-08-01T00:00:00Z.
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Connect to this object online.3rd Floor Main Library
| Шифр: |
A1234.567 |
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| Примірник 1 | Доступно |