Time Series Forecasting Made Simple (Part 3.2): A Deep Dive into LOESS-Based Smoothing
In Part 3.1 we started discussing how decomposes the time series data into trend, seasonality, and residual components, and as it is a smoothing-based technique, it means we need rough estimates of trend and seasonality for STL to perform smoothing. For that, we calculated a rough estimate of a trend by calculating it using the …
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