By Dale L. Zimmerman,Vicente A. Núñez-Antón
The First ebook devoted to This category of Longitudinal Models
Although antedependence types are fairly necessary for modeling longitudinal facts that express serial correlation, few books correctly hide those versions. through amassing effects scattered in the course of the literature, Antedependence versions for Longitudinal Data bargains a handy, systematic option to know about antedependence versions. Illustrated with various examples, the e-book additionally covers a few very important statistical inference systems linked to those models.
After describing unstructured and dependent antedependence types and their houses, the authors talk about casual version id through uncomplicated precis data and graphical tools. They then current formal likelihood-based approaches for regular antedependence versions, together with greatest chance and residual greatest probability estimation of parameters in addition to chance ratio exams and penalized chance version choice standards for the model’s covariance constitution and suggest constitution. The authors additionally evaluate the functionality of antedependence types to different versions ordinary for longitudinal data.
With this booklet, readers not need to seek throughout commonly scattered magazine articles at the topic. The ebook offers an intensive remedy of the homes and statistical inference strategies of varied antedependence types.
Read Online or Download Antedependence Models for Longitudinal Data (Chapman & Hall/CRC Monographs on Statistics & Applied Probability) PDF
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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