We have now discussed methods for specifying models and for efficiently estimating the parameters in those models. Model diagnostics, or model criticism, is concerned with testing the goodness of fit of a model and, if the fit is poor, suggesting appropriate modifications. We shall present two complementary approaches: analysis of residuals from the fitted model and analysis of overparameterized models; that is, models that are more general than the proposed model but that contain the proposed model as a special case.
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© 2008 Springer Science+Business Media, LLC
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(2008). Model Diagnostics. In: Time Series Analysis. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-0-387-75959-3_8
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DOI: https://doi.org/10.1007/978-0-387-75959-3_8
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-75958-6
Online ISBN: 978-0-387-75959-3
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