Multilevel statistical models. 4. ed.

Autor/in	Goldstein, Harvey
Titel	Multilevel statistical models. 4. ed.
Quelle	Chichester: Wiley (2011), XXI, 358 S. PDF als Volltext Link als defekt meldenVerfügbarkeit
Reihe	Wiley series in probability and statistics
Beigaben	grafische Darstellungen; Literatur- und URL-Angaben S. [333]-346
Zusatzinformation	Inhaltsverzeichnis Inhaltsangabe
Sprache	englisch
Dokumenttyp	online; gedruckt; Monographie
ISBN	0-470-74865-6; 978-0-470-74865-7
Schlagwörter	Faktorenanalyse; Hypothese; Multivariate Analyse; Strukturgleichungsmodell; Stichprobe; Prüfung; Algorithmus; Datenanalyse; Fehlerrechnung; Gleichung (Math); Variable; Messung; Daten; Modell; Modellierung; Statistische Methode; Struktur; Großbritannien
Abstract	Throughout the social, medical and other sciences the importance of understanding complex hierarchical data structures is well understood. Multilevel modelling is now the accepted statistical technique for handling such data and is widely available in computer software packages. A thorough understanding of these techniques is therefore important for all those working in these areas. This new edition brings these techniques together, starting from basic ideas and illustrating how more complex models are derived. Bayesian methodology using MCMC has been extended along with new material on smoothing models, multivariate responses, missing data, latent normal transformations for discrete responses, structural equation modeling and survival models. (DIPF/Orig.).
Erfasst von	DIPF \| Leibniz-Institut für Bildungsforschung und Bildungsinformation, Frankfurt am Main
Update	2011/4