Produktinformation
A unique and comprehensive text on the philosophy of model-based data analysis and strategy for the analysis of empirical data. The book introduces information theoretic approaches and focuses critical attention on a priori modeling and the selection of a good approximating model that best represents the inference supported by the data. It contains several new approaches to estimating model selection uncertainty and incorporating selection uncertainty into estimates of precision. An array of examples is given to illustrate various technical issues. The text has been written for biologists and statisticians using models for making inferences from empirical data.Produktkennzeichnungen
ISBN-101441929738
ISBN-139781441929730
eBay Product ID (ePID)162298121
Produkt Hauptmerkmale
VerlagSpringer Us, Springer New York
Erscheinungsjahr2010
Anzahl der Seiten520 Seiten
PublikationsnameModel Selection And Multimodel Inference
SpracheEnglisch
ProduktartLehrbuch
AutorDavid R. Anderson
FormatTaschenbuch
Zusätzliche Produkteigenschaften
HörbuchNo
MitautorKenneth P. Burnham
InhaltsbeschreibungPaperback
Item Height2cm
Item Length23cm
AusgabeAusgabe Nr. 2 des Jahres 10
Item Weight779g
Item Width15cm