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Quality assurance for statistical consulting

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Summary

Can statistical consulting be quality designed? This paper develops ideas on quality assurance of statistical consulting. An example of a quality assuring structure of statistical consulting is discussed. A measurement system for quality indicators is derived, and ideas for joint optimisation of such indicators are given.

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References

  1. Cabrera, J., McDougall, A. (2002) Statistical consulting. Springer, Berlin Heidelberg New York

    MATH  Google Scholar 

  2. CRISP-DM (2000) http://www.crisp-dm.org. Accessed 2007

  3. Hastie, T., Tibshirani, R., Friedman, J. (2001) The elements of statistical learning. Springer, Berlin Heidelberg New York

    MATH  Google Scholar 

  4. Montgomery, D.C. (2005) Design and analysis of experiments, 6th edn. Wiley, New York

    MATH  Google Scholar 

  5. Steuer, D. (2005) Statistische Eigenschaften der Multikriteriellen Optimierung mittels Wünschbarkeiten. Dissertation, Department of Statistics, University of Dortmund, http://hdl.handle.net/2003/20171

  6. Trautmann, H. (2004) Qualitätskontrolle in der Industrie anhand von Kontrollkarten für Wünschbarkeitsindizes – Anwendungsfeld Lagerverwaltung. Dissertation, Department of Statistics, University of Dortmund, http://hdl.handle.net/2003/2794

  7. Trautmann, H., Weihs, C. (2006) On the distribution of the desirability index using Harrington’s desirability function. Metrika 63, 207–213

    Article  MATH  MathSciNet  Google Scholar 

  8. Vardeman, S.B., Jobe, J.M. (1999) Statistical quality assurance methods for engineering. Wiley, New York

    Google Scholar 

  9. Weihs, C., Jessenberger, J. (1999) Statistische Methoden zur Qualitätssicherung und -optimierung. Wiley-VCH, Weinheim

    Google Scholar 

  10. Weihs, C., Seewald, W. (1996) Computer-based design of experiments in industry. In: Bock, H.H., Polasek, W. (eds.) Data analysis and information systems. Springer, Berlin Heidelberg New York, pp. 272–288

    Google Scholar 

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Correspondence to Claus Weihs.

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Weihs, C. Quality assurance for statistical consulting . AStA 91, 429–440 (2007). https://doi.org/10.1007/s10182-007-0048-8

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  • DOI: https://doi.org/10.1007/s10182-007-0048-8

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