Linear Mixed-Effects Models Using R A Step-by-Step Approach /

• Κύριοι συγγραφείς: Gałecki, Andrzej (Συγγραφέας), Burzykowski, Tomasz (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: New York, NY : Springer New York : Imprint: Springer, 2013.
• Σειρά: Springer Texts in Statistics,
• Θέματα: Statistics.; Statistical Theory and Methods.; Statistics, general.; Statistics and Computing/Statistics Programs.

Linear mixed-effects models (LMMs) are an important class of statistical models that can be used to analyze correlated data. Such data are encountered in a variety of fields including biostatistics, public health, psychometrics, educational measurement, and sociology. This book aims to support a wid...

Πίνακας περιεχομένων:

• Introduction
• Linear Models for Independent Observations
• Linear Fixed-effects Models for Correlated Data
• Linear Mixed-effects Models.