Agresti, A. (1984), Analysis of Ordinal Categorical Data, New York: John Wiley and Sons, Inc.
Agresti, A. (1990), Categorical Data Analysis, New York: John Wiley and Sons, Inc.
Akaike, H. (1987), “A new Look at the Statistical Identification Model,” IEEE Transactions on Automatic Control, 19, 716–723.
American Society for Quality Statistics Division (2004), Glossary and Tables for Statistical Quality Control, Fourth Edition, Milwaukee: Quality Press.sis of Variances–Heterogeneity and the Logarithmic Transformation,” JRSS Suppl 8, 128–138.
Bartlett, M.S. (1966), An Introduction to Stochastic Processes, Second Edition, Cambridge: Cambridge University Press.
Brown, M.B. and Forsythe, A.B. (1974), “Robust tests for the equality of variances,” Journal of the American Statistical Association, 69, 364–367.
Cleveland, W.S. (1979). “Robust Locally Weighted Regression and Smoothing Scatterplots.” Journal of the American Statistical Association 74 (368): 829–836.
Cleveland, W.S. (1994). Visualizing Data, Summit, N.J: Hobart Press.
Cohen, J. (1960), “A coefficient of agreement for nominal scales,” Education Psychological Measurement, 20: 37–46.
Cochran, W.G. and Cox, G.M. (1957). Experimental Designs, Second Edition, New York: John Wiley and Sons.
Conover, W.J. (1980), Practical Nonparametric Statistics, New York: John Wiley and Sons, Inc.
Devore, J. L. (1995), Probability and Statistics for Engineering and the Sciences, Duxbury Press, CA.
Dwass, M. (1955), “A Note on Simultaneous Confidence Intervals,” Annals of Mathematical Statistics 26: 146–147.
Eubank, R.L. (1999), Nonparametric Regression and Spline Smoothing, Second Edition, Boca Raton, Florida: CRC.
Friendly, M. (1991), “Mosaic Displays for Multiway Contingency Tables,” New York University Department of Psychology Reports: 195.
Goodman, L.A. and Kruskal, W.H. (1979), Measures of Association for Cross Classification, New York: Springer-Verlag (reprint of JASA articles).
Hahn, G. J. and Meeker, W. Q. (1991) Statistical Intervals: A Guide for Practitioners. New York: Wiley.
Hajek, J. (1969), A Course in Nonparametric Statistics, San Francisco: Holden–Day.
Hartigan, J.A. and Kleiner, B. (1981), “Mosaics for Contingency Tables,” Proceedings of the 13th Symposium on the Interface between Computer Science and Statistics, Ed. Eddy, W. F., New York: Springer–Verlag, 268–273.
Hosmer, D.W. and Lemeshow, S. (1989), Applied Logistic Regression, New York: John Wiley and Sons.
“Hot Dogs,” (1986), Consumer Reports (June), 364–367.
Hsu, J. (1989), Tutorial Notes on Multiple Comparisons, American Statistical Association, Washington, DC.
Hsu, J.C. (1996), Multiple Comparisons: Theory and Methods, Chapman and Hall.
Huber, P.J. and Ronchetti, E.M. (2009), Robust Statistics, Second Edition, Wiley.
Kendall, M. and Stuart, A. (1979), The Advanced Theory of Statistics, Volume 2, New York: Macmillan Publishing Company, Inc.
Levene, H. (1960), “Robust tests for the equality of variances” In I. Olkin (ed), Contributions to probability and statistics, Stanford Univ. Press.
Mason, R.L. and Young, J.C. (2002), Multivariate Statistical Process Control with Industrial Applications, Philadelphia: ASA-SIAM.
McCullagh, P. and Nelder, J.A. (1983), Generalized Linear Models, London: Chapman and Hall Ltd.
Meeker, W.Q. and Escobar, L.A. (1998), Statistical Methods for Reliability Data, pp. 60–62, New York: John Wiley and 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, Third Edition, Boston: Irwin, Inc.
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.
Odeh, R. E. and Owen, D. B. (1980) Tables for Normal Tolerance Limits, Sampling Plans, and Screening. New York: Marcel Dekker, Inc.
Reinsch, C.H. (1967), Smoothing by Spline Functions, Numerische Mathematik, 10, 177–183.
Rousseuw, P.J. and Leroy, A.M. (1987), Robust Regression and Outlier Detection, New York: John Wiley and Sons.
Snedecor, G.W. and Cochran, W.G. (1980), Statistical Methods, 7th edition, Ames, Iowa: Iowa State University Press.
Tamhane, A. C. and Dunlop, D. D. (2000) Statistics and Data Analysis, Prentice Hall.
Wheeler, D.J. (2003), Range Based Analysis of Means, SPC Press, Knoxville, TN.