Although standard mixed effects models are useful in a range of studies, other approaches must often be used in correlation with them when studying complex or incomplete data. Mixed Effects Models for Complex Data discusses commonly used mixed effects models and presents appropriate approaches to address dropouts, missing data, measurement errors,
Autorentext
Lang Wu is an associate professor in the Department of Statistics at the University of British Columbia in Vancouver, Canada.
Titel
Mixed Effects Models for Complex Data
Autor
EAN
9781040171042
Format
ePUB
Hersteller
Veröffentlichung
11.11.2009
Digitaler Kopierschutz
Adobe-DRM
Dateigrösse
1.71 MB
Anzahl Seiten
431
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