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Forecasting seasonal time series using a hybrid regression model

Seasonal time series are widely used in modeling and forecasting in such applied fields as climatology, housing and communal services, construction, and strategic planning. The aim of this work is to develop, analyze, and statistically verify the effectiveness of a hybrid linear regression model con...

Täydet tiedot

Tallennettuna:
Päätekijä: M. A. Shugurova
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Samara National Research University 2026-01-01
Sarja:Вестник Самарского университета: Естественнонаучная серия
Aiheet:
time series
discrete linear stochastic systems
hybrid regression model
state-space physical model
harmonic regression
sarima
ridge regression
annual air temperature cycle
ncep/ncar atmospheric reanalysis
Linkit:https://journals.ssau.ru/est/article/viewFile/29996/12446
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