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MD*ReX: Linking XploRe to Standard Spreadsheet Applications

Computational Statistics volume 17, pages 329–341 (2002)Cite this article

Summary

We will show a methodology of incorporating a profound statistical software environment into a standard spreadsheet application. Our approach is based upon a client/server computing philosophy, which will enable the user of our client side application to choose between various types of servers according to his needs of computing power.

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References

  • Bollerslev, T. (1986), Generalized Autoregressive Conditional Heteroskedasticity, Journal of Econometrics 31, 307–327.

    Article  MathSciNet  Google Scholar 

  • Engle, R.F. (1982), Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation, Econometrica 50, 987–1008.

    Article  MathSciNet  Google Scholar 

  • Feuerhake, J. (2001), MD*CRYPT — The XQS/XQC protocol, https://doi.org/md-crypt.com/.

  • Flury, B. & Riedwyl, H. (1988), Multivariate Analysis, A Practical Approach, Cambridge University Press.

  • Gouriéroux, C. (1997), ARCH Models and Financial Applications, New York: Springer-Verlag.

    Book  Google Scholar 

  • Härdle, W., Klinke, S. & Müller, M. (1999), XploRe Learning Guide, Heidelberg: Springer Verlag.

    Book  Google Scholar 

  • Härdle, W., Hlavka, Z. & Klinke, S. (2000), XploRe Application Guide, Heidelberg: Springer Verlag.

    Book  Google Scholar 

  • Härdle, W., Kleinow, T. & Tschernig, R. (2001), Web Quantlets for Time Series Analysis, The Annals of Mathematical Statistics 53(1), 179–188.

    Article  MathSciNet  Google Scholar 

  • Kaufman, L. & Rousseeuw, P.J. (1990), Finding Groups in Data: An Introduction to Cluster Analysis, New York: Wiley.

    Book  Google Scholar 

  • Kleinow, T. & Lehman, H. (2002), Client/Server based Statistical Computing, Computational Statistics (to appear).

  • Kleinow, T. & Thomas, M. (2000), Computational resources for extremes, Measuring Risk in Complex Stochastic Systems (Franke, J., Härdle, W. & Stahl, G. eds.) number 147 in Lecture Notes in Statistics, New York: Springer-Verlag.

    Google Scholar 

  • Knüsel, L. (1998), On the Accuracy of Statistical Distributions in Microsoft Excel, The Statistical Software Newsletter in Computational Statistics & Data Analysis 26, 375–379.

    Article  Google Scholar 

  • McCullough, B.D. & Wilson, B. (1999), On the Accuracy of Statistical Procedures in Microsoft Excel, Computational Statistics & Data Analysis 31, 27–37.

    Article  Google Scholar 

  • Neuwirth, E. & Baier, T. (2001), Embedding R in Standard Software, and the other way round, Proceedings of the 2nd International Workshop on Distributed Statistical Computing (Hornik, K. & Leisch, F. eds.), Vienna.

  • Ward, J.H. (1963). Hierarchical grouping to optimize an objective function, Journal of the American Statistical Association 58, 236–244.

    Article  MathSciNet  Google Scholar 

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Acknowledgements

Financial Support was received by the Deutsche Forschungsgemeinschaft, SFB 373 (“Quantification und Simulation Ökonomischer Prozesse”), Humboldt-Universität zu Berlin.

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Authors and Affiliations

  1. Wirtschaftswissenschaftliche Fakultät, Institut für Statistik und Ökonometrie, Humboldt-Universität zu Berlin, Spandauer Strasse 1, 10178, Berlin, Germany

    Gökhan Aydınlı, Wolfgang Härdle, Torsten Kleinow & Hizir Sofyan

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  1. Gökhan Aydınlı
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  2. Wolfgang Härdle
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  3. Torsten Kleinow
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  4. Hizir Sofyan
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Aydınlı, G., Härdle, W., Kleinow, T. et al. MD*ReX: Linking XploRe to Standard Spreadsheet Applications. Computational Statistics 17, 329–341 (2002). https://doi.org/10.1007/s001800200110

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  • DOI: https://doi.org/10.1007/s001800200110

Keywords

  • Client/server computing
  • Statistical software in office applications
  • Proliferation of methods
  • GUI requirements
  • Net based spreadsheets