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Prof. Dr. Sonja Kuhnt

Schnelle Fakten

Zur Person

Forschung

Publikationen

Monographie

  • D. Taeger and S. Kuhnt, Statistical hypothesis testing with SAS and R. Chichester: Wiley, 2014.
    Publikation öffnen

Konferenzpaper

  • W. Tillmann, I. Baumann, A. Brinkhoff, S. Kuhnt, E.-C. Becker-Emden, and A. Kalka, “Effect of the spray parameters on the particle behavior and the coating properties during ID warm spraying of fine WC-12Co powders (-10 + 2 μm),” in Thermal Spray 2021 : proceedings from the international thermal spray conference, 2021, pp. 283–289.
    Publikation öffnen

Journalartikel

  • D. Kirchhoff, M. Kirberg, S. Kuhnt, and U. Clausen, “Metamodel-based optimization of shift planning in high-bay warehouse operations,” Quality and reliability engineering international, vol. 39, no. 2, pp. 590–608, 2022.
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  • S. Kuhnt, E.-C. Becker-Emden, T. Schade, W. Eden, and B. Middendorf, “Use of optimal mixture-process designs and response-surface models to study properties of calcium silicate units,” Quality and reliability engineering international, vol. 37 (2021), no. 2, pp. 391–408, 2021.
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  • H. Dette, L. Hoyden, S. Kuhnt, and K. Schorning, “Optimal designs for thermal spraying,” Journal of the Royal Statistical Society. Series C, Applied statistics, vol. 66 (2017), no. 1, pp. 53–72, 2017.
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  • S. Kuhnt, A. Rehage, and C. Becker-Emden, “Residual analysis in generalized function-on-scalar regression for an HVOF spraying process,” Quality and reliability engineering international, vol. 32 (2016), no. 6, pp. 2139–2150, 2016.
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  • N. Rudak, S. Kuhnt, and E. Riccomagno, “Numerical algebraic fan of a design for statistical model building,” Statistica Sinica, vol. 26 (2016), no. 3, pp. 1021–1035, 2016.
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  • N. Rudak, B. Hussong, and S. Kuhnt, “Simultaneous optimization of multiple correlated responses with application to a thermal spraying process,” Quality and reliability engineering international, vol. 31 (2015), no. 7, pp. 1223–1238, 2015.
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  • J. Fruth, O. Roustant, and S. Kuhnt, “Sequential designs for sensitivity analysis of functional inputs in computer experiments,” Reliability engineering & system safety, no. 134, pp. 260–267, 2015.
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  • J. Fruth, O. Roustant, and S. Kuhnt, “Total interaction index,” Journal of statistical planning and inference : JSPI, no. 147, pp. 212–223, 2014.
    Publikation öffnen
  • O. Roustant, J. Fruth, and S. Kuhnt, “Crossed-derivative based sensitivity measures for interaction screening,” Mathematics and computers in simulation : transactions of IMACS, no. 105, pp. 105–118, 2014.
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  • S. Kuhnt, F. Rapallo, and A. Rehage, “Outlier detection in contingency tables based on minimal patterns,” Statistics and computing : SC, vol. 24 (2014), no. 3, pp. 481–491, 2014.
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  • M. Borowski, N. Rudak, and S. Kuhnt, “On- and offline detection of structural breaks in thermal spraying processes,” Journal of applied statistics, vol. 41 (2014), no. 5, pp. 1073–1090, 2014.
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  • M. Ivanov and S. Kuhnt, “A parallel optimization algorithm based on FANOVA decomposition,” Quality and reliability engineering international, vol. 30 (2014), no. 7, pp. 961–974, 2014.
    Publikation öffnen
  • N. Rudak, S. Kuhnt, and E. Riccomagno, “Modeling of a thermal spraying process by Gaussian chain graphs,” Quality technology & quantitative management : an international journal ; QQ, vol. 11 (2014), no. 1, pp. 85–98, 2014.
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Lehre

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