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The Effect of Telephone Survey Design on Discriminant Analysis

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Advances in Classification and Data Analysis

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Abstract

In this paper the effect of telephone survey sample design on discriminant analysis is studied. The population is divided into two groups and a superpopulation model with multivariate normal distribution is assumed for the variables. The learning sample is composed of the randomly generated telephone numbers which correspond to the eligible population units (RDD). The rate of misclassification of the discriminant function and the effect of sample design on this rate of misclassification are discussed.

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Author information

Authors and Affiliations

  1. Dipartimento di Statistica “G. Parenti”, Università di Firenze, Viale G.B. Morgagni 59, 50134, Firenze, Italy

    Alessandra Petrucci

  2. Dipartimento di Matematica, Statistica, Informatica ed Applicazioni, Università di Bergamo, Piazza Rosate 2, 24129, Bergamo, Italy

    Monica Pratesi

Authors
  1. Alessandra Petrucci
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  2. Monica Pratesi
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Editor information

Editors and Affiliations

  1. Department SEFEMEQ, University of Rome “Tor Vergata”, Via di Tor Vergata, 00133, Rome, Italy

    Simone Borra

  2. Department SEGeS, University of Molise, Via de Sanctis, 86100, Campobasso, Italy

    Roberto Rocci

  3. Department Statistica, Probabilità e Statistiche Applicate, University of Rome “La Sapienza”, Piazza le Aldo Moro, 00185, Rome, Italy

    Maurizio Vichi

  4. University of Mannheim, 68131, Mannheim, Germany

    Martin Schader (Lehrstuhl für Wirtschaftsinformatik III Schloß) (Lehrstuhl für Wirtschaftsinformatik III Schloß)

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© 2001 Springer-Verlag Berlin Heidelberg

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Petrucci, A., Pratesi, M. (2001). The Effect of Telephone Survey Design on Discriminant Analysis. 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_8

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  • DOI: https://doi.org/10.1007/978-3-642-59471-7_8

  • 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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