Hands-on Time Series Analysis with Python: From Basics to Bleeding Edge Techniques

© B V Vishwas and Ashish Patel 2020

B. V. Vishwas, A. PATELHands-on Time Series Analysis with Pythonhttps://doi.org/10.1007/978-1-4842-5992-4_3

3. Smoothing Methods

B V Vishwas¹  and Ashish Patel²

(1)

Infosys, Bengaluru, India

(2)

Cygnet Infotech Pvt Ltd, Ahmedabad, India

 

Smoothing is a statistical method we can use to create an approximation function to remove irregularities in data and attempt to capture significant patterns. Robert Goodell Brown was the father of exponential smoothing, and in 1956 he published “Exponential Smoothing for Predicting Demand” (https://industrydocuments.library.ucsf.edu/tobacco/docs/#id=jzlc0130). In 1957, professor Charles C. Holt was working at CMU on forecasting and published a paper called “Forecasting Seasonals and ...