Abstract
When a series of responses is being observed over time on the same subject, one may expect to find some dependence among them. Thus, responses closer together in time may usually be expected to be more closely related. In the simplest models, as in Chapter 4, this dependence may be ignored, but this is most useful as a null hypothesis to which more complex models can be compared. Now, we shall look at this dependence, but use simpler systematic components than in the previous chapter.
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© 1997 Springer-Verlag New York, Inc.
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(1997). Time Series. In: Applying Generalized Linear Models. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-0-387-22730-6_5
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DOI: https://doi.org/10.1007/978-0-387-22730-6_5
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-98218-2
Online ISBN: 978-0-387-22730-6
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