Statistical prediction of air pollution levels using non-physical models

DOI10.1016/0005-1098(79)90018-9zbMath0413.62081OpenAlexW2042136633MaRDI QIDQ598759

Sumit K. Garg

Publication date: 1979

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0005-1098(79)90018-9

zbMATH Keywords

predictionair pollutionKalman filterdata processingtime series modelsenvironment controlnon-physical models

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Geophysics (86A99) Prediction theory (aspects of stochastic processes) (60G25)

Related Items (2)

Track/vehicle system identification by a revised group method of data handling (GMDH) ⋮ Prediction of the peak flood using revised GMDH alogrithms

Cites Work

• Fitting autoregressive models for prediction
• Statistical predictor identification
• A new look at the statistical model identification
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