By Dale L. Zimmerman,Vicente A. Núñez-Antón
The First booklet devoted to This type of Longitudinal Models
Although antedependence versions are really worthwhile for modeling longitudinal information that express serial correlation, few books correctly conceal those versions. by means of accumulating effects scattered in the course of the literature, Antedependence versions for Longitudinal Data deals a handy, systematic approach to know about antedependence versions. Illustrated with various examples, the ebook additionally covers a few very important statistical inference approaches linked to those models.
After describing unstructured and established antedependence types and their houses, the authors talk about casual version identity through basic precis data and graphical tools. They then current formal likelihood-based tactics for regular antedependence versions, together with greatest chance and residual greatest chance estimation of parameters in addition to chance ratio assessments and penalized probability version choice standards for the model’s covariance constitution and suggest constitution. The authors additionally examine the functionality of antedependence versions to different versions frequent for longitudinal data.
With this ebook, readers not need to seek throughout broadly scattered magazine articles at the topic. The booklet presents an intensive therapy of the homes and statistical inference methods of varied antedependence types.
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Extra info for Antedependence Models for Longitudinal Data (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)
Antedependence Models for Longitudinal Data (Chapman & Hall/CRC Monographs on Statistics & Applied Probability) by Dale L. Zimmerman,Vicente A. Núñez-Antón