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Agresti, A. (1990). Categorical Data Analysis. New York: John Wiley & Sons.
Asiribo, O., and Gurland, J. (1990). “Coping with Variance Heterogeneity.” Communication in Statistics: Theory and Methods 19:4029–4048.
Brown, M. B., and Forsythe, A. B. (1974). “Robust Tests for Equality of Variances.” Journal of the American Statistical Association 69:364–367.
Conover, W. J. (1980). Practical Nonparametric Statistics. New York: John Wiley & Sons.
Conover, W. J. (1999). Practical Nonparametric Statistics. 3rd ed. New York: John Wiley & Sons.
Devore, J. L. (1995). Probability and Statistics for Engineering and the Sciences. Pacific Grove, CA: Duxbury Press.
Eubank, R. L. (1999). Nonparametric Regression and Spline Smoothing. 2nd ed. Boca Raton, Florida: CRC.
Friendly, M. (1994). “Mosaic Displays for Multi-Way Contingency Tables.” Journal of the American Statistical Association 89:190–200.
Goodman, L. A., and Kruskal, W. H. (1979). Measures of Association for Cross Classification. New York: Springer-Verlag.
Hajek, J. (1969). A Course in Nonparametric Statistics. San Francisco: Holden-Day.
Hartigan, J. A., and Kleiner, B. (1981). “Mosaics for Contingency Tables.” In Computer Science and Statistics: Proceedings of the Thirteenth Symposium on the Interface, edited by W. F. Eddy, 268–273. New York: Springer-Verlag.
Hosmer, D. W., and Lemeshow, S. (1989). Applied Logistic Regression. New York: John Wiley & Sons.
Hsu, J. C. (1996). Multiple Comparisons: Theory and Methods. London: Chapman and Hall.
Huber, P. J., and Ronchetti, E. M. (2009). Robust Statistics. 2nd ed. New York: John Wiley & Sons.
Kendall, M., and Stuart, A. (1979). The Advanced Theory of Statistics. 4th ed. Vol. 2. New York: Macmillan.
Lehmann, E. L., and D’Abrera, H. J. M. (2006). Nonparametrics: Statistical Methods Based on Ranks. Rev. ed. San Francisco: Holden-Day.
Levene, H. (1960). “Robust Tests for the Equality of Variance.” In Contributions to Probability and Statistics: Essays in Honor of Harold Hotelling, edited by I. Olkin, S. G. Ghurye, W. Hoeffding, W. G. Madow, and H. B. Mann. Palo Alto, CA: Stanford University Press.
McCullagh, P., and Nelder, J. A. (1989). Generalized Linear Models. London: Chapman and Hall.
Meeker, W. Q., and Escobar, L. A. (1998). Statistical Methods for Reliability Data. New York: John Wiley & Sons.
Meeker, W. Q., Hahn, G. J., and Escobar, L. A. (2017). Statistical Intervals: A Guide for Practitioners and Researchers. 2nd ed. New York: John Wiley & Sons.
Nelson, P. R., Wludyka, P. S., and Copeland, K. A. F. (2005). The Analysis of Means: A Graphical Method for Comparing Means, Rates, and Proportions. Philadelphia: Society for Industrial and Applied Mathematics.
Neter, J., Wasserman, W., and Kutner, M. H. (1990). Applied Linear Statistical Models. 3rd ed. Boston: Irwin.
O'Brien, R., and Lohr, V. (1984). “Power Analysis For Linear Models: The Time Has Come.” Proceedings of the Ninth Annual SAS User's Group International Conference, 840–846. Cary, NC: SAS Institute Inc.
Rousseeuw, P. J., and Leroy, A. M. (1987). Robust Regression and Outlier Detection. New York: John Wiley & Sons.
Rubin, D. (1981). “The Bayesian Bootstrap.” The Annals of Statistics 9:130–134.
SAS Institute Inc. (2017b). “The FREQ Procedure.” In SAS/STAT 14.3 User’s Guide. Cary, NC: SAS Institute Inc. Retrieved December 22, 2017 from https://support.sas.com/documentation/onlinedoc/stat/143/freq.pdf
Snedecor, G. W., and Cochran, W. G. (1980). Statistical Methods. 7th ed. Ames, Iowa: Iowa State University Press.
Tamhane, A. C., and Dunlop, D. D. (2000). Statistics and Data Analysis. Englewood Cliffs, NJ: Prentice-Hall.
Tukey, J. W. (1953). “The Problem of Multiple Comparisons.” In Multiple Comparisons, 1948–1983, edited by H. I. Braun, vol. 8 of The Collected Works of John W. Tukey (published 1994), 1–300. London: Chapman & Hall. Unpublished manuscript.
Wheeler, D. J. (2003). Range Based Analysis of Means. Knoxville, TN: SPC Press.

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