By Dale L. Zimmerman,Vicente A. Núñez-Antón
The First booklet devoted to This type of Longitudinal Models
Although antedependence versions are really necessary for modeling longitudinal info that express serial correlation, few books competently hide those versions. via amassing effects scattered in the course of the literature, Antedependence versions for Longitudinal Data deals a handy, systematic technique to know about antedependence types. Illustrated with quite a few examples, the ebook additionally covers a few vital statistical inference approaches linked to those models.
After describing unstructured and dependent antedependence versions and their houses, the authors talk about casual version identity through basic precis records and graphical tools. They then current formal likelihood-based tactics for regular antedependence types, together with greatest chance and residual greatest probability estimation of parameters in addition to chance ratio assessments and penalized chance version choice standards for the model’s covariance constitution and suggest constitution. The authors additionally evaluate the functionality of antedependence versions to different types accepted for longitudinal data.
With this publication, readers not need to seek throughout generally scattered magazine articles at the topic. The ebook presents a radical remedy of the houses and statistical inference systems of assorted antedependence versions.
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