Antedependence Models for Longitudinal Data (Chapman & by Dale L. Zimmerman,Vicente A. Núñez-Antón

By Dale L. Zimmerman,Vicente A. Núñez-Antón

The First publication devoted to This type of Longitudinal Models


Although antedependence types are quite priceless for modeling longitudinal facts that convey serial correlation, few books correctly conceal those versions. by way of accumulating effects scattered during the literature, Antedependence versions for Longitudinal Data deals a handy, systematic method to know about antedependence versions. Illustrated with a number of examples, the booklet additionally covers a few very important statistical inference methods linked to those models.



After describing unstructured and established antedependence types and their homes, the authors talk about casual version identity through easy precis facts and graphical tools. They then current formal likelihood-based techniques for regular antedependence types, together with greatest probability and residual greatest chance estimation of parameters in addition to chance ratio checks and penalized probability version choice standards for the model’s covariance constitution and suggest constitution. The authors additionally evaluate the functionality of antedependence versions to different types time-honored for longitudinal data.



With this booklet, readers now not need to seek throughout greatly scattered magazine articles at the topic. The ebook offers a radical therapy of the houses and statistical inference strategies of varied antedependence versions.

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