An atmosphere-ocean time series model of global climate change

DOI10.1016/J.CSDA.2005.09.016zbMath1157.62549OpenAlexW2104453808WikidataQ57162501 ScholiaQ57162501MaRDI QIDQ1010476

David I. Stern

Publication date: 6 April 2009

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2005.09.016

zbMATH Keywords

Kalman filtertime series analysisglobal climate changemulticointegration

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to environmental and related topics (62P12) Hydrology, hydrography, oceanography (86A05) Meteorology and atmospheric physics (86A10)

Related Items (2)

A multicointegration model of global climate change ⋮ Econometric modelling of climate systems: the equivalence of energy balance models and cointegrated vector autoregressions

Cites Work

• Unnamed Item
• Distribution of the Estimators for Autoregressive Time Series With a Unit Root
• Co-Integration and Error Correction: Representation, Estimation, and Testing
• Distribution of Residual Autocorrelations in Autoregressive-Integrated Moving Average Time Series Models
• STABLE ALGORITHMS FOR THE STATE SPACE MODEL

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