In this study, we are constructing a time series forecasting model based on monthly data from 2010 to 2019, with a small sample size and strong linear dependence between series; so, the ARIMA/ARIMAX model and Holt-Winters model will perform better when they have a clear trend in the series.
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Predicting the Number of Reported Pulmonary Tuberculosis in Guiyang, China, Based on Time Series Analysis Techniques.
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