Antedependence Models for Longitudinal Data - Zimmerman, Dale L.; Núñez-Antón, Vicente A.
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By gathering many results scattered throughout the literature, this book offers a convenient, systematic way to learn about antedependence models and the important statistical inference procedures associated with these models. It presents both informal methods of inference, such as graphical methods, and formal likelihood-based methods. The authors also explore related topics and extensions, including alternative estimation methods and multivariate antedependence models. They explain how to use the methodology through illustrative examples and data sets. The relevant R functions are available for download online.…mehr

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Produktbeschreibung
By gathering many results scattered throughout the literature, this book offers a convenient, systematic way to learn about antedependence models and the important statistical inference procedures associated with these models. It presents both informal methods of inference, such as graphical methods, and formal likelihood-based methods. The authors also explore related topics and extensions, including alternative estimation methods and multivariate antedependence models. They explain how to use the methodology through illustrative examples and data sets. The relevant R functions are available for download online.
Autorenporträt
Dale L. Zimmerman is a professor in the Department of Statistics and Actuarial Science at the University of Iowa. Vicente A. Núnez-Antón is a professor in the Department of Econometrics and Statistics at The University of the Basque Country.