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On the exact distribution of maximally selected rank statistics

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  • Hothorn, Torsten
  • Lausen, Berthold

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  • Hothorn, Torsten & Lausen, Berthold, 2003. "On the exact distribution of maximally selected rank statistics," Computational Statistics & Data Analysis, Elsevier, vol. 43(2), pages 121-137, June.
  • Handle: RePEc:eee:csdana:v:43:y:2003:i:2:p:121-137
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    References listed on IDEAS

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    1. Lausen, Berthold & Schumacher, Martin, 1996. "Evaluating the effect of optimized cutoff values in the assessment of prognostic factors," Computational Statistics & Data Analysis, Elsevier, vol. 21(3), pages 307-326, March.
    2. Contal, Cecile & O'Quigley, John, 1999. "An application of changepoint methods in studying the effect of age on survival in breast cancer," Computational Statistics & Data Analysis, Elsevier, vol. 30(3), pages 253-270, May.
    3. Heinzl, Harald & Tempfer, Clemens, 2001. "A cautionary note on segmenting a cyclical covariate by minimum P-value search," Computational Statistics & Data Analysis, Elsevier, vol. 35(4), pages 451-461, February.
    4. Friede, T. & Miller, F. & Bischoff, W. & Kieser, M., 2001. "A note on change point estimation in dose-response trials," Computational Statistics & Data Analysis, Elsevier, vol. 37(2), pages 219-232, August.
    5. Jandhyala, Venkata K. & Fotopoulos, Stergios B. & Evaggelopoulos, Nicholas E., 2000. "A comparison of unconditional and conditional solutions to the maximum likelihood estimation of a change-point," Computational Statistics & Data Analysis, Elsevier, vol. 34(3), pages 315-334, September.
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    Citations

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    Cited by:

    1. Hollander, Norbert & Schumacher, Martin, 2006. "Estimating the functional form of a continuous covariate's effect on survival time," Computational Statistics & Data Analysis, Elsevier, vol. 50(4), pages 1131-1151, February.
    2. Boulesteix, Anne-Laure & Strobl, Carolin, 2007. "Maximally selected Chi-squared statistics and non-monotonic associations: An exact approach based on two cutpoints," Computational Statistics & Data Analysis, Elsevier, vol. 51(12), pages 6295-6306, August.
    3. Peters, A. & Hothorn, T. & Lausen, B., 2005. "Generalised indirect classifiers," Computational Statistics & Data Analysis, Elsevier, vol. 49(3), pages 849-861, June.
    4. Chiou, Sy Han & Qian, Jing & Mormino, Elizabeth & Betensky, Rebecca A., 2018. "Permutation tests for general dependent truncation," Computational Statistics & Data Analysis, Elsevier, vol. 128(C), pages 308-324.
    5. Gerhard Tutz & Moritz Berger, 2016. "Item-focussed Trees for the Identification of Items in Differential Item Functioning," Psychometrika, Springer;The Psychometric Society, vol. 81(3), pages 727-750, September.
    6. Hoora Moradian & Denis Larocque & Fran├žois Bellavance, 2017. "$$L_1$$ L 1 splitting rules in survival forests," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 23(4), pages 671-691, October.
    7. Torsten Hothorn & Achim Zeileis, 2008. "Generalized Maximally Selected Statistics," Biometrics, The International Biometric Society, vol. 64(4), pages 1263-1269, December.
    8. Achim Zeileis & Torsten Hothorn, 2013. "A toolbox of permutation tests for structural change," Statistical Papers, Springer, vol. 54(4), pages 931-954, November.
    9. Carolin Strobl & Julia Kopf & Achim Zeileis, 2015. "Rasch Trees: A New Method for Detecting Differential Item Functioning in the Rasch Model," Psychometrika, Springer;The Psychometric Society, vol. 80(2), pages 289-316, June.
    10. Hoora Moradian & Denis Larocque & Fran├žois Bellavance, 0. "$$L_1$$ L 1 splitting rules in survival forests," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 0, pages 1-21.

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