By Dale L. Zimmerman,Vicente A. Núñez-Antón
The First e-book devoted to This category of Longitudinal Models
Although antedependence types are quite worthy for modeling longitudinal facts that convey serial correlation, few books appropriately hide those versions. by means of accumulating effects scattered in the course of the literature, Antedependence versions for Longitudinal Data bargains a handy, systematic solution to find out about antedependence types. Illustrated with a number of examples, the e-book additionally covers a few very important statistical inference strategies linked to those models.
After describing unstructured and based antedependence versions and their homes, the authors speak about casual version identity through easy precis facts and graphical equipment. They then current formal likelihood-based strategies for regular antedependence types, together with greatest probability and residual greatest chance 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 universal for longitudinal data.
With this booklet, readers not need to seek throughout broadly scattered magazine articles at the topic. The publication offers an intensive remedy of the houses and statistical inference strategies of varied antedependence types.
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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