2.2.4.4 Winter's Method (Smoothing)

Introduction

Winter’s method is an extension of double exponential smoothing that incorporates seasonality into the forecast. This method is particularly useful for time series data that exhibit both trend and seasonality.

Winter’s method introduces a seasonal component \(S_t\) in addition to the level \(L_t\) and trend \(T_t\) components. The seasonal component captures the periodic fluctuations in the data.

Notes: To decide which smoothing tool is appropriate for your data, please refer to the summarized table in the page of Smooth.

More information:

• Tutorial: Winter's Method
• Algorithm: Winter's Method