By Dale L. Zimmerman,Vicente A. Núñez-Antón
The First publication devoted to This classification of Longitudinal Models
Although antedependence versions are fairly invaluable for modeling longitudinal information that express serial correlation, few books accurately disguise those versions. by way of collecting effects scattered through the literature, Antedependence types for Longitudinal Data bargains a handy, systematic method to know about antedependence versions. Illustrated with various examples, the publication additionally covers a few very important statistical inference strategies linked to those models.
After describing unstructured and established antedependence versions and their houses, the authors speak about casual version identity through uncomplicated precis data and graphical equipment. They then current formal likelihood-based strategies for regular antedependence types, 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 examine the functionality of antedependence versions to different versions typical for longitudinal data.
With this ebook, readers now not need to seek throughout extensively scattered magazine articles at the topic. The booklet presents a radical therapy of the houses and statistical inference tactics of assorted antedependence versions.
Read Online or Download Antedependence Models for Longitudinal Data (Chapman & Hall/CRC Monographs on Statistics & Applied Probability) PDF
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Additional resources 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