A comparison between the linear regression model with autocorrelated errors and the partial adjustment model

DOI10.1007/s00477-009-0340-0OpenAlexW2012428354MaRDI QIDQ2319559

Maria Isabel Barão, Helena Mouriño

Publication date: 19 August 2019

Published in: Stochastic Environmental Research and Risk Assessment (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00477-009-0340-0

zbMATH Keywords

correlated errorsupwellingstochastic regressorsautoregressive stationary processes

Mathematics Subject Classification ID

Parametric tolerance and confidence regions (62F25) Linear regression; mixed models (62J05) Parametric inference and fuzziness (62F86)

Uses Software

• partsm

Cites Work

• Wind characterization and potential assessment using spectral analysis
• Drought forecasting using stochastic models
• On the efficiency of regression analysis with AR(p) errors
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