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Yxilon – A Client/Server Based Statistical Environment

Author

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  • Wolfgang Härdle
  • Sigbert Klinke
  • Uwe Ziegenhagen

Abstract

Along with many others, we agree that a modern education in statistics needs to incorporate the practical analysis of real datasets, which are usually more complex than the common examples found in standard textbooks. The software used in the teaching of statistics includes standard spreadsheet environments such as OpenOffice and Excel and dedicated commercial and non-commercial packages such as R, Minitab or SPSS. With the freely available Yxilon environment we add another package and proliferate the statistical programming language XploRe, using a modern client/server based architecture. This architecture has the capabilities of serving statistical results in a variety of flavors for different groups of users. In this paper we describe the general setup of the Yxilon environment and present selected technical details.

Suggested Citation

  • Wolfgang Härdle & Sigbert Klinke & Uwe Ziegenhagen, 2007. "Yxilon – A Client/Server Based Statistical Environment," SFB 649 Discussion Papers SFB649DP2007-036, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    • Handle: RePEc:hum:wpaper:sfb649dp2007-036
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    File URL: http://sfb649.wiwi.hu-berlin.de/papers/pdf/SFB649DP2007-036.pdf
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    Cited by:

    1. Volodymyr Perederiy, 2007. "Kombinierte Liquiditäts- und Solvenzkennzahlen und ein darauf basierendes Insolvenzprognosemodell für deutsche GmbHs," SFB 649 Discussion Papers SFB649DP2007-060, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.

    More about this item

    Keywords

    E-learning; Statistical Software.;

    JEL classification:

    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software

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