Time Series Analysis and Forecasting

Time Series Analysis and Forecasting
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Time Series Analysis and Forecasting
Error measures can help optimize moving averages, weighted moving averages, and exponential smoothing methods. There are two distinct characteristics of error measures that help optimize the moving averages mentioned above. These are that the errors can both be observed and measured. The error measures are created to take a closer look at the measured values and the actual values. Errors mainly occur due to either system issues or may occur spontaneously (Mabude et al., 2018). These errors can help optimize the moving averages, weighted moving averages, and exponential smoothing methods by fine-tuning the methods used in their calculation. Fine-tuning is critical for continuous improvement.
Close observation of the error measures provides a w...