Antedependence Models for Longitudinal Data

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Sprache: Englisch

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Beschreibung

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.

Über den Autor

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.

Inhaltsverzeichnis

Introduction. Unstructured Antedependence Models. Structured Antedependence Models. Informal Model Identification. Likelihood-Based Estimation. Testing Hypotheses on the Covariance Structure. Testing Hypotheses on the Mean Structure. Case Studies. Further Topics and Extensions. Appendices. References. Index.

Details

Erscheinungsjahr:	2017
Fachbereich:	Wahrscheinlichkeitstheorie
Genre:	Importe , Mathematik
Rubrik:	Naturwissenschaften & Technik
Medium:	Taschenbuch
ISBN-13:	9781138113626
ISBN-10:	113811362X
Sprache:	Englisch
Einband:	Kartoniert / Broschiert
Autor:	Zimmerman, Dale L. Núñez-Antón, Vicente A.
Hersteller:	Chapman and Hall/CRC
Verantwortliche Person für die EU:	Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße:	234 x 156 x 16 mm
Von/Mit:	Dale L. Zimmerman (u. a.)
Erscheinungsdatum:	14.06.2017
Gewicht:	0,445 kg

Artikel-ID: 133279241