Introduction to Nonparametric Analysis


References

  • Agresti, A. (2007). An Introduction to Categorical Data Analysis. 2nd ed. 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. 3rd ed. New York: John Wiley & Sons.

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

  • Gibbons, J. D., and Chakraborti, S. (2010). Nonparametric Statistical Inference. 5th ed. New York: Chapman & 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. 2nd ed. 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, 970–978. Cary, NC: SAS Institute Inc. http://www.sascommunity.org/sugi/SUGI88/Sugi-13-196%20Iman.pdf.

  • 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, 1146–1148. Cary, NC: SAS Institute Inc. http://www.sascommunity.org/sugi/SUGI87/Sugi-12-209%20Ipe.pdf.

  • Lehmann, E. L., and D’Abrera, H. J. M. (2006). Nonparametrics: Statistical Methods Based on Ranks. Rev. ed. 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.