trend = res.trend seasonal = res.seasonal residual = res.resid
时间: 2024-05-24 18:10:43 浏览: 14
These variables are outputs of a time series decomposition analysis.
- trend represents the long-term trend of the time series, i.e. the overall direction in which the series is moving.
- seasonal represents the seasonal or periodic fluctuations in the time series, such as monthly or yearly patterns.
- residual represents the random or irregular fluctuations in the time series that are not explained by the trend or seasonal components.
Together, the trend, seasonal, and residual components make up the original time series. Decomposing a time series into its components can help identify patterns and trends that may be useful for forecasting or understanding the underlying dynamics of the data.
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