A frequently encountered problem in fitting statistical models is the presence of outliers. Chapter 9 deals with a robust diagnostic approach known as Forward Search that detects the presence of outliers and assesses their influence on the estimates of the model parameters. In particular, the use of this approach is investigated in generalized liner models applied in studies on university performance evaluation.

Robust diagnostics in university performance studies

Bini M;
2009-01-01

Abstract

A frequently encountered problem in fitting statistical models is the presence of outliers. Chapter 9 deals with a robust diagnostic approach known as Forward Search that detects the presence of outliers and assesses their influence on the estimates of the model parameters. In particular, the use of this approach is investigated in generalized liner models applied in studies on university performance evaluation.
2009
978-3-7908-2384-4
Forward search
Outliers detection
Robust regression
Robust ANOVA
University performance
File in questo prodotto:
File Dimensione Formato  
Chapter_Robust diagnostics in university performance.pdf

non disponibili

Dimensione 1.14 MB
Formato Adobe PDF
1.14 MB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14092/2661
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
social impact