References

  • Agresti, A. (2007), An Introduction to Categorical Data Analysis, Second Edition, New York: John Wiley & Sons.

  • Bross, I. D. J. (1958), “How to Use Ridit Analysis,” Biometrics, 14, 18–38.

  • Conover, W. J. (1999), Practical Nonparametric Statistics, Third Edition, New York: John Wiley & Sons.

  • Conover, W. J. and Iman, R. L. (1981), “Rank Transformations as a Bridge between Parametric and Nonparametric Statistics,” The American Statistician, 35, 124–129.

  • Gibbons, J. D. and Chakraborti, S. (2010), Nonparametric Statistical Inference, Fifth Edition, New York: Chapman and Hall.

  • Hajek, J. (1969), A Course in Nonparametric Statistics, San Francisco: Holden-Day.

  • Hettmansperger, T. P. (1984), Statistical Inference Based on Ranks, New York: John Wiley & Sons.

  • Hollander, M. and Wolfe, D. A. (1999), Nonparametric Statistical Methods, Second Edition, New York: John Wiley & Sons.

  • Hora, S. C. and Conover, W. J. (1984), “The F Statistic in the Two-Way Layout with Rank-Score Transformed Data,” Journal of the American Statistical Association, 79, 668–673.

  • Hora, S. C. and Iman, R. L. (1988), “Asymptotic Relative Efficiencies of the Rank-Transformation Procedure in Randomized Complete Block Designs,” Journal of the American Statistical Association, 83, 462–470.

  • Iman, R. L. (1988), “The Analysis of Complete Blocks Using Methods Based on Ranks,” in Proceedings of the Thirteenth Annual SAS Users Group International Conference, Cary, NC: SAS Institute Inc.

  • Iman, R. L. and Conover, W. J. (1979), “The Use of the Rank Transform in Regression,” Technometrics, 21, 499–509.

  • Iman, R. L., Hora, S. C., and Conover, W. J. (1984), “Comparison of Asymptotically Distribution-Free Procedures for the Analysis of Complete Blocks,” Journal of the American Statistical Association, 79, 674–685.

  • Ipe, D. (1987), “Performing the Friedman Test and the Associated Multiple Comparison Test Using PROC GLM,” in Proceedings of the Twelfth Annual SAS Users Group International Conference, Cary, NC: SAS Institute Inc.

  • Lehmann, E. L. (2006), Nonparametrics: Statistical Methods Based on Ranks, New York: Springer Science+Business Media.

  • Randles, R. H. and Wolfe, D. A. (1979), Introduction to the Theory of Nonparametric Statistics, New York: John Wiley & Sons.