Four time series prediction models for incidence prediction of hand, foot and mouth disease: a comparative study
ObjectiveTo compare the performance of seasonal autoregressive integrated moving average (SARIMA) model, Winter linear and seasonal exponential smoothing model, Census X12 seasonal decomposition model, and linear combination prediction model in incidence prediction of hand, foot and mouth disease (H...
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| Main Authors: | , , |
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| Format: | Book |
| Published: |
Editorial Office of Chinese Journal of Public Health,
2022-02-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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Internet
Connect to this object online.3rd Floor Main Library
| Call Number: |
A1234.567 |
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| Copy 1 | Available |