ATA method

YAPAR G., TAYLAN SELAMLAR H., ÇAPAR S., YAVUZ İ.

HACETTEPE JOURNAL OF MATHEMATICS AND STATISTICS, cilt.48, sa.6, ss.1838-1844, 2019 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 48 Sayı: 6
  • Basım Tarihi: 2019
  • Doi Numarası: 10.15672/hujms.461032
  • Dergi Adı: HACETTEPE JOURNAL OF MATHEMATICS AND STATISTICS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, TR DİZİN (ULAKBİM)
  • Sayfa Sayıları: ss.1838-1844
  • Anahtar Kelimeler: exponential smoothing, forecasting, initial value, M3-competition, smoothing parameter, DECOMPOSITION, FORECASTS
  • Dokuz Eylül Üniversitesi Adresli: Evet

Özet

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.