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Learning Data Analysis and Mathematical Statistics with a Macintosh

  • Anestis Antoniadis
  • Jacques Berruyer
  • René Carmona
Conference paper
  • 214 Downloads
Part of the Statistics and Computing book series (SCO)

Abstract

The purpose of this note is to report on pedagogical experiments centered around the use of a dedicated program in the learning of mathematical statistics and the practice of data analysis. The authors developed a set of lectures notes with a strong emphasis on: Graphical analyses, random number generation, simulation techniques, resampling methods, dynamic illustration of regression diagnostics, robust methods ... . Most of these concepts can be presented to undergraduate students but no appropriate textbook existed. Also, such a pedagogical experiment could not be conceived without the use of a computer program for use as a companion to the lectures. No satisfactory solution could be found from the existing commercial or public softwares. We discuss in detail some of the most salient features of the experiment and we describe the tools which the authors developed in the process.

Key Words

Dynamic graphics Software teaching of statistics. 

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References

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    Devore J. and Peck R. (1986). Statistics, the exploration and analysis of data, West Publishing Company, Mn.Google Scholar
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    Härdle W. (1991). Smoothing Techniques with implementation in S, Springer-Verlag series in Statistics, New York.CrossRefzbMATHGoogle Scholar
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    Nummi T., Nurhonen M. and Puntanen S. (1989). Dynamic illustration of Regression diagnostics, I.S.I.-47th Session, Paris, pp. 33–49.Google Scholar
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    Tierney L. (1990). LISP-STAT An object-Oriented Environment for Statistical Computing and Dynamic Graphics, John Wiley & Sons, New York.CrossRefzbMATHGoogle Scholar
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    Velleman P. F. (1989). Learning data analysis with Datadesk, Freeman Company, New York.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1993

Authors and Affiliations

  • Anestis Antoniadis
    • 1
  • Jacques Berruyer
    • 2
  • René Carmona
    • 3
  1. 1.Lab. IMAG—LMCUniv. Joseph FourierGrenobleFrance
  2. 2.Département de MathématiquesUniv. de Saint-EtienneSaint-EtienneFrance
  3. 3.Department of MathematicsUniversity of CaliforniaIrvineUSA

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