By Dale L. Zimmerman,Vicente A. Núñez-Antón
The First booklet devoted to This category of Longitudinal Models
Although antedependence types are rather precious for modeling longitudinal information that express serial correlation, few books effectively conceal those versions. via accumulating effects scattered in the course of the literature, Antedependence versions for Longitudinal Data bargains a handy, systematic strategy to find out about antedependence types. Illustrated with a variety of examples, the e-book additionally covers a few vital statistical inference techniques linked to those models.
After describing unstructured and dependent antedependence types and their houses, the authors talk about casual version id through uncomplicated precis information and graphical tools. They then current formal likelihood-based strategies for regular antedependence versions, together with greatest probability and residual greatest probability estimation of parameters in addition to probability ratio assessments and penalized probability version choice standards for the model’s covariance constitution and suggest constitution. The authors additionally examine the functionality of antedependence versions to different versions favourite for longitudinal data.
With this e-book, readers now not need to seek throughout greatly scattered magazine articles at the topic. The e-book presents an intensive remedy of the homes and statistical inference techniques of varied antedependence versions.
Read Online or Download Antedependence Models for Longitudinal Data (Chapman & Hall/CRC Monographs on Statistics & Applied Probability) PDF
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