Unmasking the Theta method

被引:88
作者
Hyndman, RJ [1 ]
Billah, B [1 ]
机构
[1] Monash Univ, Dept Econometr & Business Stat, Melbourne, Vic 3800, Australia
关键词
exponential smoothing; forecasting competitions; state space models;
D O I
10.1016/S0169-2070(01)00143-1
中图分类号
F [经济];
学科分类号
02 ;
摘要
The 'Theta method' of forecasting performed particularly well in the M3-competition and is therefore of interest to forecast practitioners. The original description of the method given by Assimakopoulos and Nikolopoulos [International Journal of Forecasting 16 (2000) 521] involves several pages of algebraic manipulation. We show that the method can be expressed much more simply and that the forecasts obtained are equivalent to simple exponential smoothing with drift. (C) 2001 International Institute of Forecasters. Published by Elsevier Science BY. All rights reserved.
引用
收藏
页码:287 / 290
页数:4
相关论文
共 7 条
[1]   The theta model: a decomposition approach to forecasting [J].
Assimakopoulos, V ;
Nikolopoulos, K .
INTERNATIONAL JOURNAL OF FORECASTING, 2000, 16 (04) :521-530
[2]  
BOX G. E. P., 1994, SERIES ANAL FORECAST
[3]  
HYNDMAN RJ, 2002, IN PRESS INT J FOREC
[4]  
Kelly W. G., 2000, DIFFERENCE EQUATIONS
[5]   The M3-Competition: results, conclusions and implications [J].
Makridakis, S ;
Hibon, M .
INTERNATIONAL JOURNAL OF FORECASTING, 2000, 16 (04) :451-476
[6]  
Makridakis S., 1998, Forecasting: Methods and Applications, V3rd
[7]   Estimation and prediction for a class of dynamic nonlinear statistical models [J].
Ord, JK ;
Koehler, AB ;
Snyder, RD .
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1997, 92 (440) :1621-1629