Can I read Antedependence Models for Longitudinal Data (Chapman & Hall CRC Monographs on Statistics & Applied Probability) on EtoBox?

Antedependence Models for Longitudinal Data (Chapman & Hall CRC Monographs on Statistics & Applied Probability) by Dale L. Zimmerman, Vicente A. Núñez-Antón is a nonfiction available to read on EtoBox.

What is Antedependence Models for Longitudinal Data (Chapman & Hall CRC Monographs on Statistics & Applied Probability) about?

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 h

Who reads Antedependence Models for Longitudinal Data (Chapman & Hall CRC Monographs on Statistics & Applied Probability)?

Author

Dale L. Zimmerman, Vicente A. Núñez-Antón

Publisher

Chapman and Hall/CRC

Published

2009

Language

EN

ISBN

9780367834418

Category

nonfiction

Subjects

Mathematics, Stem