ScholarGate
Msaidizi
Regression model

Upepeshaji wa kielelezo rahisi na mara mbili (SES / Holt)

Upepeshaji wa kielelezo ni familia ya modeli za msingi za utabiri wa mfululizo wa wakati ambapo kila uchunguzi mpya husasisha makadirio yaliyopepeswa na kigezo cha uzani. Upepeshaji wa kielelezo rahisi (SES), ulioanzishwa na Robert G. Brown mnamo 1959, hutabiri mfululizo wenye kiwango thabiti, wakati upepeshaji wa kielelezo mara mbili wa Holt, ulioanzishwa na Charles C. Holt mnamo 1957, huongeza kipengele cha mwelekeo kwa kutumia vigezo alpha na beta.

Tumia kupitia EconMindHivi karibuniVideoHivi karibuniDownload slides

Soma mbinu kamili

Kwa wanachama pekee

Ingia kwa akaunti ya bure ili kusoma sehemu hii.

Ingia

Method map

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

Vyanzo

  1. Brown, R. G. (1959). Statistical Forecasting for Inventory Control. McGraw-Hill. link
  2. Holt, C. C. (1957). Forecasting Trends and Seasonals by Exponentially Weighted Averages. Office of Naval Research Memorandum 52, Carnegie Institute of Technology. link

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 1). Simple and Double Exponential Smoothing (SES / Holt). ScholarGate. https://scholargate.app/sw/econometrics/simple-exponential-smoothing

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

Imerejelewa na

ScholarGateExponential Smoothing (Simple and Double Exponential Smoothing (SES / Holt)). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/econometrics/simple-exponential-smoothing · Seti ya data: https://doi.org/10.5281/zenodo.20539026