Los contenidos de matemáticas en los nuevos grados de Economía y ADEAnálisis en las universidades de la Comunidad de Madrid

  1. García Llamas, Mª Carmen 1
  2. Rodríguez Ruíz, Julián 1
  3. Matilla García, Mariano 1
  1. 1 Economía Aplicada Cuantitativa I UNED
Aldizkaria:
Anales de ASEPUMA

ISSN: 2171-892X

Argitalpen urtea: 2010

Zenbakia: 18

Mota: Artikulua

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Beste argitalpen batzuk: Anales de ASEPUMA

Laburpena

This paper analyzes several academic syllabuses of degrees in economics and business administration that have been obtained from different universities within the framework of the EEES. Cluster analysis has been used to understand how universities are related in function of lectured contents.

Erreferentzia bibliografikoak

  • Cuadras, C. M. (1981): Métodos de análisis multivariante. Editorial Universitaria de Barcelona (EUNBAR).
  • Deerwester, S., Dumais, Susan T., Harshman, R. (1990): Indexing by Latent Semantic Analysis. Journal of the American Society for Information Science,Vol 41 (6) pp. 391‐407.
  • Dumais, Susan T. (1995): Latent Semantic Indexing (LSI): TREC‐3 Report. Overview of the Third Text Retrieval Conference.
  • Everitt B.S., Landau S., LEESE M. (2001): “Cluster Analysis”, Edit Arnold Fourth Edition.
  • Gower, J.C.(1971): A general Coefficient of Similarity and Some of Its Properties. Biometrics, Vol 27, nº 4 (Dec 1971) pp.857‐871.
  • Gower, J.C.(1966): Some distance properties of latent root and vector methods in multivariate analysis. Biometrika, 53, pp.315328.
  • Kaufman, L.; Rousseeuw, P.J. (1990): Finding Groups in Data: An Introduction to Cluster Analysis, Wiley, New York.
  • Macqueen, J. B. (1967): “Some Methods for classification and Analysis of Multivariate Observations”. Proceedings of 5th Berkeley Symposium on Mathematical Statistics and Probability. University of California Press. pp. 281–297.
  • Xu, R., Wunsch, D. (2005): Survey of Clustering Algorithms. IEEE Transactions On Neural Networks.
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