2.2.4.3 Double Exponential Smoothing

TSA-Smooth-DoubleExp

Introduction

Double exponential smoothing, also known as Holt’s method, is an extension of single exponential smoothing and is used for smoothing time series data that exhibit trend. In addition to considering the weighted average of past observations, double exponential smoothing also takes into account the trend of the time series. This method is particularly useful for data with a consistent trend but no seasonality.

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: Double Exp Smoothing
• Algorithm:Double Exp Smoothing