TY  - JOUR
AB  - A method is developed for evaluating forecasting models with
respect to both error and complexity in forecasting. Several types of
forecasting accuracy measures (MSE, MPE, MAPE, Theil′s U‐Statistic and a
loss cost function) are examined and the approach is illustrated using
short‐term forecasting methods, and weekly and four‐weekly data. The
approach can, however, be applied equally to immediate, medium‐ and
long‐term forecasting.
VL  - 10
IS  - 3
SN  - 0144-3577
DO  - 10.1108/01443579010003003
UR  - https://doi.org/10.1108/01443579010003003
AU  - Mahmoud Essam
AU  - Pegels C. Carl
PY  - 1990
Y1  - 1990/01/01
TI  - An Approach for Selecting Times Series Forecasting Models
T2  - International Journal of Operations & Production Management
PB  - MCB UP Ltd
SP  - 50
EP  - 60
Y2  - 2024/05/04
ER  -