Predicting Chinese Mobile Phone Users Based on Combined Exponential Smoothing-Linear Regression Method

Abstract

In this paper, we propose a combined exponential smoothing-linear regression method to predict the number of mobile phone users in China. The main idea is to use linear regression (LR) to predict the relative error of exponential smoothing (ES) method based on the predicted results of exponential smoothing method, and to use the predicted relative error to adjust the predicted results of exponential smoothing method. The experimental results show that the proposed method is more accurate than both the exponential smoothing and linear regression method.