Regression model

Holt-Winters trostruko eksponencijalno izglađivanje

Holt-Winters trostruko eksponencijalno izglađivanje je model prognoziranja koji proširuje Holtovo dvostruko izglađivanje dodavanjem sezonske komponente, koju je uveo Peter Winters 1960. godine, nadovezujući se na rad Charlesa Holta. On prati tri promenljive veličine — nivo, trend i sezona — i kombinuje ih za prognozu neprekidnog vremenskog niza.

Primenite uz EconMindUskoroVideoUskoroDownload slides

Pročitajte celu metodu

Samo za članove

Prijavite se besplatnim nalogom da biste pročitali ovaj odeljak.

Prijavite se

Method map

The neighbourhood of related methods — select a node to explore.

Izvori

  1. Winters, P. R. (1960). Forecasting Sales by Exponentially Weighted Moving Averages. Management Science, 6(3), 324-342. DOI: 10.1287/mnsc.6.3.324
  2. Holt, C. C. (2004). Forecasting Seasonals and Trends by Exponentially Weighted Moving Averages. International Journal of Forecasting, 20(1), 5-10. DOI: 10.1016/j.ijforecast.2003.09.015

Kako citirati ovu stranicu

ScholarGate. (2026, June 1). Holt-Winters Triple Exponential Smoothing. ScholarGate. https://scholargate.app/sr/econometrics/holt-winters

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

Compare side by side

Citirana u

ScholarGateHolt-Winters (Holt-Winters Triple Exponential Smoothing). Preuzeto 2026-06-15 sa https://scholargate.app/sr/econometrics/holt-winters · Skup podataka: https://doi.org/10.5281/zenodo.20539026