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Integrable e-lements for statistics education

Author

Listed:
  • Härdle, Wolfgang Karl
  • Klinke, Sigbert
  • Ziegenhagen, Uwe

Abstract

Without doubt modern education in statistics must involve practical, computer-based data analysis but the question arises whether and how computational elements should be integrated into the canon of methodological education. Should the student see and study high-level programming code right at the beginning of his or her studies? Which technology can be presented during class and which computational elements can re-occur (at increasing level of complexity) during the different courses? In this paper we address these questions and discuss where e-techniques have their limits in statistics education.

Suggested Citation

  • Härdle, Wolfgang Karl & Klinke, Sigbert & Ziegenhagen, Uwe, 2005. "Integrable e-lements for statistics education," SFB 649 Discussion Papers 2005-058, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    • Handle: RePEc:zbw:sfb649:sfb649dp2005-058
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    References listed on IDEAS

    as
    1. Pavel Cizek & Wolfgang Karl Härdle & Rafal Weron, 2005. "Statistical Tools for Finance and Insurance," HSC Books, Hugo Steinhaus Center, Wroclaw University of Technology, number hsbook0501, December.
    2. Klinke, Sigbert & Ziegenhagen, Uwe & Guri, Yuval, 2005. "Yxilon: A modular open-source statistical programming language," SFB 649 Discussion Papers 2005-018, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    3. Härdle, Wolfgang Karl & Lehmann, Heiko, 2005. "Working with the XQC," SFB 649 Discussion Papers 2005-010, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    electronic books; hypertext; e-supported teaching; statistical software;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • C19 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Other

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