Anderson, T. W. (1958) An Introduction to Multivariate Statistical Analysis. New York: John Wiley & Sons.
Belsley, D.A., Kuh, E., and Welsch, R.E. (1980), Regression Diagnostics, New York: John Wiley and Sons.
Box, G.E.P., Hunter,W.G., and Hunter, J.S. (1978), Statistics for Experimenters, New York: John Wiley and Sons, Inc.
Burnham, K.P. and Anderson, D.R. (2002), Model Selection And Multimodel Inference: A Practical Information Theoretic Approach. Springer, New York.
Carroll, R.J. and Ruppert, D. (1988), Transformation and Weighting in Regression, New York: Chapman and Hall.
Chiles, J.-P. and Delfiner, P. (2012), Geostatistics: Modeling Spatial Uncertainty, Second Edition, Wiley: New Jersey.
Cobb, G.W. (1998), Introduction to Design and Analysis of Experiments, Springer-Verlag: New York.
Conover, W.J. (1999), Practical Nonparametric Statistics, 3rd Edition, New York: John Wiley and Sons, Inc.
Cook, R.D. and Weisberg, S. (1982), Residuals and Influence in Regression, New York: Chapman and Hall.
Cornell, J.A. (1990), Experiments with Mixtures, Second Edition, New York: John Wiley and Sons.
Cox, D.R. (1972), “Regression Models and Life Tables,” Journal of the Royal Statistical Society, Series B, 20, 187–220, with discussion.
Cox, D.R. and Snell, E.J., (1989), Analysis of Binary Data, Second Edition, New York: Chapman and Hall.
Cressie, N.A.C. (1993), Statistics for Spatial Data, Revised Edition, John Wiley & Sons.
Dwass, M. (1955), “A Note on Simultaneous Confidence Intervals,” Annals of Mathematical Statistics 26: 146–147.
Efron, B. (1977), “The Efficiency of Cox’s Likelihood Function for Censored Data,” Journal of the American Statistical Association, 72, 557–565.
Farebrother, R.W. (1981), “Mechanical Representations of the L1 and L2 Estimation Problems,” Statistical Data Analysis, 2nd Edition, Amsterdam, North Holland: edited by Y. Dodge.
Fieller, E.C. (1954), “Some Problems in Interval Estimation,” Journal of the Royal Statistical Society, Series B, 16, 175-185.
Goodnight, J.H. (1978), “Tests of Hypotheses in Fixed Effects Linear Models,” SAS Technical Report R–101, Cary: SAS Institute Inc, also in Communications in Statistics (1980), A9 167–180.
Goos, P. and Jones, B. (2011), Optimal Design of Experiments: A Case Study Approach, John Wiley and Sons.
Harrell, F. (1986), “The Logist Procedure,” SUGI Supplemental Library User’s Guide, Version 5 Edition, Cary, NC: SAS Institute Inc.
Hastie, T. J., Tibshirani, R. J., and Friedman, J. H. (2009). The Elements of Statistical Learning: Data Mining, Inference, and Prediction. 2nd ed. New York: Springer-Verlag.
Hocking, R.R. (1985), The Analysis of Linear Models, Monterey: Brooks–Cole.
“Hot Dogs,” (1986), Consumer Reports (June), 364–367.
Hsu, J. C. (1996), Multiple Comparisons: Theory and Methods, CRC Press.
Huber, P.J. and Ronchetti, E.M. (2009), Robust Statistics, second edition, John Wiley and Sons.
Huynh, H. and Feldt, L. S. (1970). “Conditions under which Mean Square Ratios in Repeated Measurements Designs have Exact F-Distributions.” Journal of the American Statistical Association, 65, 1582–1589.
John, P.W.M. (1971), Statistical Design and Analysis of Experiments, New York: Macmillan Publishing Company, Inc.
Kalbfleisch, J.D. and Prentice, R.L. (2002), 2nd Edition, The Statistical Analysis of Failure Time Data, second edition, New York: John Wiley and Sons.
Koenker, R. and Hallock, K.F. (2001), “Quantile Regression,” Journal of Economic Perspectives, Vol. 15, No. 4, pp. 143–156.
Littell, R.C., Milliken, G.A., Stroup, W.W., Wolfinger, R.D., and Schabenberger, O. (2006), SAS for Mixed Models, 2nd edition, SAS Institute Inc., Cary, NC.
Mardia, K.V., Kent, J.T., and Bibby J.M. (1979). Multivariate Analysis, New York: Academic Press.
McCullagh, P. and Nelder, J.A. (19893), Generalized Linear Models, 2nd Edition, London: Chapman and Hall Ltd.
McCulloch, C.E., Searle, S.R., and Neuhaus, J.M. (2008), Generalized, Linear, and Mixed Models, New York: John Wiley and Sons.
Miller, A.J. (1990), Subset Selection in Regression, New York: Chapman and Hall.
Myers, R. H. and Montgomery, D. C. (1995), Response Surface Methodology, New York: John Wiley and Sons.
Nelder, J.A. and Wedderburn, R.W.M. (1972), “Generalized Linear Models,” Journal of the Royal Statistical Society, Series A, 135, 370–384.
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, SIAM.
Poduri, S.R.S. Rao (1997), Variance Components: Mixed Models, Methodologies and Applications (Monographs on Statistics and Applied Probability), New York, Chapman & Hall.
Portnoy, Stephen (1971), “Formal Bayes Estimation with Application to a Random Effects Model”, The Annals of Mathematical Statistics, Vol. 42, No. 4, pp. 1379–1402.
Rawlings, J.O. (1988), Applied Regression Analysis: A Research Tool, Pacific Grove CA: Wadsworth and Books/Cole.
Ruppert, Wand, and Carroll (2003), Semiparametric Regression, Cambridge, United Kingdom: Cambridge University Press.
SAS Institute Inc. (1987), SAS/STAT® Guide for Personal Computers, Version 6 Edition, Cary NC: SAS Institute Inc.
SAS Institute Inc. (2008), SAS/STAT® 9.2 User's Guide, Cary, NC: SAS Institute Inc.
SAS Institute Inc. (2011), SAS/STAT® 9.2 User's Guide, Cary, NC: SAS Institute Inc.
SAS Institute Inc. (2013), SAS/STAT® 12.3 User’s Guide, Cary, NC: SAS Institute Inc.
Scheffé, H. (1958) “Experiments with Mixtures”, Journal of the Royal Statistical Society B v20, 344–360.
Searle, S. R, Casella, G. and McCulloch, C. E. (1992) Variance Components. New York: John Wiley and Sons.
Seber, G.A.F. (1984), Multivariate Observations, New York: John Wiley and Sons, 413–416.
Snedecor, G.W. and Cochran, W.G. (1967), Statistical Methods, Ames, Iowa: Iowa State University Press.
Stone, C. and Koo, C.Y. (1985), “Additive Splines in Statistics,” Proceedings of the Statistical Computing Section, 45-48, Amer. Statist. Assoc., Washington, DC.
Tibshirani, R. (1996), “Regression Shrinkage and Selection via the Lasso,” Journal of the Royal Statistical Society, Series B, 58:1, 267-288.
Westfall, P.H., Tobias, R.D., Wolfinger, R.D. (2011), Multiple Comparisons and Multiple Tests Using SAS®, Second Edition, SAS Press.
Wright, S.P. and R.G. O’Brien (1988), “Power Analysis in an Enhanced GLM Procedure: What it Might Look Like,” SUGI 1988, Proceedings of the Thirteenth Annual Conference, 1097–1102, Cary NC: SAS Institute Inc.
Zou, H. and Hastie, T. (2005), “Regularization and Variable Selection via the Elastic Net,” Journal of the Royal Statistical Society, Series B, 67:2, 301-320.

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