Antedependence Models for Longitudinal Data Chapman & Hall/CRC Monographs on Statistics and Applied Probability Series
Auteurs : Zimmerman Dale L., Núñez-Antón Vicente A.
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.
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.
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.
Date de parution : 06-2017
15.6x23.4 cm
Disponible chez l'éditeur (délai d'approvisionnement : 14 jours).
Prix indicatif 87,11 €
Ajouter au panierDate de parution : 08-2009
Ouvrage de 256 p.
15.6x23.4 cm
Thèmes d’Antedependence Models for Longitudinal Data :
Mots-clés :
Ad Model; Autoregressive Coefficients; Dale L; Zimmerman; Covariance Structure; ad hoc code; Precision Matrix; SAS PROC MIXED; Structured Antedependence Model; antedependence models; Penalized Likelihood Criteria; longitudinal data; Likelihood Ratio Tests; likelihood estimation; Split Times; REML Estimate; Stationary Autoregressive Models; Positive Definite Covariance Matrix; Likelihood Ratio Test Statistic; Marginal Covariance Structure; Normal Multivariate Regression; Random Coefficient Models; Marginal Correlations; LRT Modify; Marginal Variances; Partial Correlations; Log Δi; REML Estimator; Maximum Likelihood Estimators; Profile Log Likelihood Function; Graphical Diagnostics; Partial Regression Plots