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Selection of ordinally scaled independent variables with applications to international classification of functioning core sets


  • Jan Gertheiss
  • Sara Hogger
  • Cornelia Oberhauser
  • Gerhard Tutz


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  • Jan Gertheiss & Sara Hogger & Cornelia Oberhauser & Gerhard Tutz, 2011. "Selection of ordinally scaled independent variables with applications to international classification of functioning core sets," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 60(3), pages 377-395, May.
  • Handle: RePEc:bla:jorssc:v:60:y:2011:i:3:p:377-395

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    References listed on IDEAS

    1. Roberto S. Mariano & Yasutomo Murasawa, 2003. "A new coincident index of business cycles based on monthly and quarterly series," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(4), pages 427-443.
    2. Siem Jan Koopman & Neil Shephard & Jurgen A. Doornik, 1999. "Statistical algorithms for models in state space using SsfPack 2.2," Econometrics Journal, Royal Economic Society, vol. 2(1), pages 107-160.
    3. Durbin, James & Koopman, Siem Jan, 2012. "Time Series Analysis by State Space Methods," OUP Catalogue, Oxford University Press, edition 2, number 9780199641178.
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    Cited by:

    1. Gerhard Tutz & Jan Gertheiss, 2014. "Rating Scales as Predictors—The Old Question of Scale Level and Some Answers," Psychometrika, Springer;The Psychometric Society, vol. 79(3), pages 357-376, July.
    2. Sweeney Elizabeth & Crainiceanu Ciprian & Gertheiss Jan, 2016. "Testing differentially expressed genes in dose-response studies and with ordinal phenotypes," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 15(3), pages 213-235, June.
    3. Faisal Maqbool Zahid & Gerhard Tutz, 2013. "Proportional Odds Models with High-Dimensional Data Structure," International Statistical Review, International Statistical Institute, vol. 81(3), pages 388-406, December.

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