A frequently encountered problem in fitting this kind of models is the presence of outliers. The chapter 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 some statistical methods such as generalized liner models applied in studies on university performance evaluation.

Robust diagnostics in university performance studies / M.Bini; B.Bertaccini; S.Bacci. - STAMPA. - (2009), pp. 139-160. [10.1007/978-3-7908-2385-1_9]

Robust diagnostics in university performance studies

B. Bertaccini;S. Bacci
2009

Abstract

A frequently encountered problem in fitting this kind of models is the presence of outliers. The chapter 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 some statistical methods such as generalized liner models applied in studies on university performance evaluation.
2009
9783790823844
9783790823851
Statistical Methods for the Evaluation of Educational Services and Quality of Products
139
160
Goal 3: Good health and well-being for people
M.Bini; B.Bertaccini; S.Bacci
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/593954
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