By Dale L. Zimmerman,Vicente A. Núñez-Antón
The First e-book devoted to This type of Longitudinal Models
Although antedependence types are relatively valuable for modeling longitudinal facts that convey serial correlation, few books competently hide those versions. via amassing effects scattered during the literature, Antedependence versions for Longitudinal Data deals a handy, systematic solution to find out about antedependence types. Illustrated with various examples, the booklet additionally covers a few vital statistical inference approaches linked to those models.
After describing unstructured and established antedependence versions and their homes, the authors speak about casual version id through basic precis information and graphical equipment. They then current formal likelihood-based techniques for regular antedependence versions, together with greatest probability and residual greatest probability estimation of parameters in addition to probability ratio checks and penalized chance version choice standards for the model’s covariance constitution and suggest constitution. The authors additionally evaluate the functionality of antedependence versions to different versions widespread for longitudinal data.
With this publication, readers now not need to seek throughout broadly scattered magazine articles at the topic. The ebook presents an intensive remedy of the houses and statistical inference systems of varied antedependence versions.
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