Analysis of Longitudinal Data by Example
Auteurs : Wang You-Gan, Fu Liya, Paul Sudhir
Development in methodology on longitudinal data is fast. Currently, there are a lack of intermediate /advanced level textbooks which introduce students and practicing statisticians to the updated methods on correlated data inference. This book will present a discussion of the modern approach to semiparametric inference, including the links between the theories of random effects models, likelihood functions and estimators, and various types of efficient statistical models. The theory will be supported with practical examples of R-codes and R-packages applied to interesting case-studies from a number of different areas.
Background. Basic Theory and Framework. Parameter Estimation. Model Selection. Robust Approaches. Clustered Data Analysis. Further Advanced Topics and Generalizations.
Date de parution : 12-2019
À paraître, réservez-le dès maintenant
Prix indicatif 108,54 €Ajouter au panier