Antedependence Models for Longitudinal Data - Chapman & Hall / CRC Monographs on Statistics and Applied Probability - Dale L. Zimmerman - Libros - Taylor & Francis Ltd - 9781138113626 - 14 de junio de 2017
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Dale L. Zimmerman
Antedependence Models for Longitudinal Data - Chapman & Hall / CRC Monographs on Statistics and Applied Probability 1.º edición

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The First Book Dedicated to This Class of Longitudinal Models

Although antedependence models are particularly useful for modeling longitudinal data that exhibit serial correlation, few books adequately cover these models. By gathering results scattered throughout the literature, Antedependence Models for Longitudinal Data offers a convenient, systematic way to learn about antedependence models. Illustrated with numerous examples, the book also covers some important statistical inference procedures associated with these models.

After describing unstructured and structured antedependence models and their properties, the authors discuss informal model identification via simple summary statistics and graphical methods. They then present formal likelihood-based procedures for normal antedependence models, including maximum likelihood and residual maximum likelihood estimation of parameters as well as likelihood ratio tests and penalized likelihood model selection criteria for the model?s covariance structure and mean structure. The authors also compare the performance of antedependence models to other models commonly used for longitudinal data.

With this book, readers no longer have to search across widely scattered journal articles on the subject. The book provides a thorough treatment of the properties and statistical inference procedures of various antedependence models.

288 pages, 47 Tables, black and white; 28 Illustrations, black and white

Medios de comunicación Libros     Paperback Book   (Libro con tapa blanda y lomo encolado)
Publicado 14 de junio de 2017
ISBN13 9781138113626
Editores Taylor & Francis Ltd
Páginas 288
Dimensiones 150 × 220 × 10 mm   ·   530 g
Lengua Inglés  
Editor de series Fan, Jianqing (Princeton University, New Jersey, USA)
Editor de series Isham, Valerie
Editor de series Keiding, Niels (University of Copenhagen, Denmark)
Editor de series Louis, Thomas A. (Johns Hopkins Bloomberg School of Public Health, MD, USA Johns Hopkins Bloomberg School of Public Health, Baltimore, Johns Hopkins Bloomberg, Baltimore, Maryland, USA)
Editor de series Smith, Richard L. (University of North Carolina, Chapel Hill, USA)
Editor de series Tong, Howell (London School of Economics, UK London School of Economics, UK)

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