ScholarGate
Msaidizi
Process / pipelineForecast evaluation

Mchanganuo-wa-Muda (Dirio/Dirio Lapanuka)

Mchanganuo-wa-muda ni utaratibu wa upyaji upya ulioundwa kwa data iliyoandaliwa kwa mpangilio. Badala ya kugawanya kwa nasibu matukio — ambayo yangeharibu muundo wa muda na kusababisha uvujaji wa data — inasogeza chanzo cha utabiri hatua moja kwa wakati, ikifaa modeli kwa data zote za zamani hadi chanzo hicho na kuipima katika kipindi cha mara moja kinachofuata cha nje ya sampuli. Wanauchumi, wachambuzi wa fedha, na wataalamu wa hali ya hewa huutumia wakati wowote ambapo makadirio ya kweli, yanayofaa kwa utendaji wa usahihi wa utabiri yanahitajika kwa mchakato ulioandaliwa kwa muda.

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. Bergmeir, C., & Benítez, J. M. (2012). On the use of cross-validation for time series predictor evaluation. Information Sciences, 191, 192–213. DOI: 10.1016/j.ins.2011.12.028

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 2). Time-Series Cross-Validation (Rolling/Expanding Window). ScholarGate. https://scholargate.app/sw/econometrics/ts-cross-validation

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

ScholarGateTime-Series Cross-Validation (Time-Series Cross-Validation (Rolling/Expanding Window)). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/econometrics/ts-cross-validation · Seti ya data: https://doi.org/10.5281/zenodo.20539026