@article{article_461032, title={ATA Method}, journal={Hacettepe Journal of Mathematics and Statistics}, volume={48}, pages={1838–1844}, year={2019}, DOI={10.15672/hujms.461032}, author={Yapar, Guckan and Taylan Selamlar, Hanife and Capar, Sedat and Yavuz, İdil}, keywords={Exponential smoothing,Forecasting,Initial value,M3-competition,Smoothing parameter}, abstract={In this study, the forecasting accuracy of a new forecasting method that is alternative to two major forecasting approaches: exponential smoothing (ES) and ARIMA, will be evaluated. Using the results from the M3-competition, the forecasting performance of this method will be compared to not only these two major approaches but also to other successful methods derived from these two approaches with respect to simplicity and cost in addition to accuracy.}, number={6}, publisher={Hacettepe University}