Buch, Englisch, 504 Seiten, GB
Reihe: Springer Texts in Statistics
Buch, Englisch, 504 Seiten, GB
Reihe: Springer Texts in Statistics
ISBN: 978-0-387-40337-3
Verlag: Springer US
The goal of this book is to provide an overview of statistical models
and methods that are useful in the analysis of longitudinal data; that
is, data in the form of repeated measurements on the same experimental
unit over time. The intended audience is a combination of non-
statistics graduate students who have taken an applied methods course
covering linear regression and Analysis of Variance and masters-level
statistics students looking for an applied intro course.
Zielgruppe
Grad students
ResearchersNone
Autoren/Hrsg.
Weitere Infos & Material
Introduction and Motivation * Review of Matrix Algebra * Random
Vectors and Multivariate Normal Distribution * Univariate Repeated
Measures Analysis of Variance * Multivariate Repeated Measures
Analysis of Variance * Drawbacks and Limitations of Classicial Methods
* General Linear Models for Longitudinal Data * Random Coefficient
Models for Multivariate Normal Data * Linear Mixed Effects Models for
Multivariate Normal Data * Generalized Linear Models for NonNormal
Response * Population-averaged Models for Nonnormal Repeated
Measurements * Advanced Topics
