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Theory & Methods: Residual Diagnostic Plots for Checking for Model Mis‐specification in Time Series Regression

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Publication:4541905
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DOI10.1111/1467-842X.00142zbMath0992.62081OpenAlexW1503877591MaRDI QIDQ4541905

Rob Hyndman, Richard Fraccaro, A. Veevers

Publication date: 31 July 2002

Published in: Australian & New Zealand Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/1467-842x.00142


zbMATH Keywords

generalized least squaresautocorrelationtime series regressionresidual diagnosticsresidual plotsmodel transformationsmean shifts


Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10)


Related Items (5)

Assessing and hedging the cost of unseasonal weather: case of the apparel sector ⋮ Leverages and Influential Observations in a Regression Model with Autocorrelated Errors ⋮ Diagnostics for skew-normal nonlinear regression models with AR(1) errors ⋮ Testing of Homogeneity for Correlation and Variance in Nonlinear Regression Models with DBL(p, 0, 1) Random Errors ⋮ Bayesian residual analysis for spatially correlated data







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