A Plot for Submodel Selection in Generalized Linear Models

Porzio, Giovanni C.

doi:10.1007/978-3-642-59471-7_27

Giovanni C. Porzio⁸

Part of the book series: Studies in Classification, Data Analysis, and Knowledge Organization ((STUDIES CLASS))

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Abstract

In applied regression analysis, model selection criteria are usually used to identify a set of submodels for further study. In this paper, we present a method for a graphical comparison of models that helps in selecting among submodels. The method, based on comparisons of fitted functions projected on two-dimensional surfaces, is offered in a generalized linear models framework, and it is explored in the binomial regression case.

Research supported by MURST and CNR funds

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Authors and Affiliations

Università degli Studi di Cassino, via Mazzaroppi, Cassino, Italy
Giovanni C. Porzio

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Giovanni C. Porzio
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Editors and Affiliations

Department SEFEMEQ, University of Rome “Tor Vergata”, Via di Tor Vergata, 00133, Rome, Italy
Simone Borra
Department SEGeS, University of Molise, Via de Sanctis, 86100, Campobasso, Italy
Roberto Rocci
Department Statistica, Probabilità e Statistiche Applicate, University of Rome “La Sapienza”, Piazza le Aldo Moro, 00185, Rome, Italy
Maurizio Vichi
University of Mannheim, 68131, Mannheim, Germany
Martin Schader (Lehrstuhl für Wirtschaftsinformatik III Schloß) (Lehrstuhl für Wirtschaftsinformatik III Schloß)

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Porzio, G.C. (2001). A Plot for Submodel Selection in Generalized Linear Models. In: Borra, S., Rocci, R., Vichi, M., Schader, M. (eds) Advances in Classification and Data Analysis. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-59471-7_27

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DOI: https://doi.org/10.1007/978-3-642-59471-7_27
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-41488-9
Online ISBN: 978-3-642-59471-7
eBook Packages: Springer Book Archive

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