By Dale L. Zimmerman,Vicente A. Núñez-Antón
The First booklet devoted to This category of Longitudinal Models
Although antedependence types are rather helpful for modeling longitudinal facts that show serial correlation, few books accurately hide those types. via accumulating effects scattered in the course of the literature, Antedependence types for Longitudinal Data deals a handy, systematic technique to find out about antedependence types. Illustrated with a number of examples, the ebook additionally covers a few vital statistical inference systems linked to those models.
After describing unstructured and established antedependence types and their houses, the authors talk about casual version id through uncomplicated precis records and graphical equipment. They then current formal likelihood-based systems for regular antedependence versions, together with greatest chance and residual greatest chance estimation of parameters in addition to probability 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 types to different types primary for longitudinal data.
With this ebook, readers not need to seek throughout extensively scattered magazine articles at the topic. The publication presents an intensive remedy of the houses and statistical inference techniques of varied antedependence versions.
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Additional 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