Allen, D. M. (1971), "Mean Square Error of Prediction as a Criterion for Selecting Variables," Technometrics, 13, 469–475.
Allen, D. M. and Cady, F. B. (1982), Analyzing Experimental Data by Regression, Belmont, CA: Lifetime Learning Publications.
Belsley, D. A., Kuh, E., and Welsch, R .E. (1980), Regression Diagnostics, New York: John Wiley & Sons.
Bock, R. D. (1975), Multivariate Statistical Methods in Behavioral Research, New York: McGraw-Hill.
Box, G. E. P. (1966), "The Use and Abuse of Regression," Technometrics, 8, 625–629.
Cleveland, W. S., Devlin, S. J., and Grosse, E. (1988), "Regression by Local Fitting," Journal of Econometrics, 37, 87–114.
Cook, R. D. (1977), "Detection of Influential Observations in Linear Regression," Technometrics, 19, 15–18.
Cook, R. D. (1979), "Influential Observations in Linear Regression," Journal of the American Statistical Association, 74, 169–174.
Daniel, C. and Wood, F. (1980), Fitting Equations to Data, Revised Edition, New York: John Wiley & Sons.
Darlington, R. B. (1968), "Multiple Regression in Psychological Research and Practice," Psychological Bulletin, 69, 161–182.
Davis, A. W. (1970), "Differential Equation of Hotelling’s Generalized ," Annals of Statistics, 39, 815–832.
Davis, A. W. (1972), "On the Marginal Distributions of the Latent Roots of the Multivariate Beta Matrix," Biometrika, 43, 1664–1670.
Davis, A. W. (1979), "On the Differential Equation for Meijer Function, and Further Wilks’s Likelihood Ratio Criterion," Biometrika, 66, 519–531.
Davis, A. W. (1980), "Further Tabulation of Hotelling’s Generalized ," Communications in Statistics, Part B, 9, 321–336.
Draper, N. and Smith, H. (1981), Applied Regression Analysis, Second Edition, New York: John Wiley & Sons.
Durbin, J. and Watson, G. S. (1951), "Testing for Serial Correlation in Least Squares Regression," Biometrika, 37, 409–428.
Freund, R. J., Littell, R. C., and Spector P. C. (1991), SAS System for Linear Models, Cary, NC: SAS Institute Inc.
Freund, R. J. and Littell, R. C. (1986), SAS System for Regression, 1986 Edition, Cary, NC: SAS Institute Inc.
Goodnight, J. H. (1979), "A Tutorial on the SWEEP Operator," The American Statistician, 33, 149158. (Also available as SAS Technical Report R-106, The Sweep Operator: Its Importance in Statistical Computing, Cary, NC: SAS Institute Inc.)
Hawkins, D. M. (1980), "A Note on Fitting a Regression with No Intercept Term," The American Statistician, 34, 233.
Hosmer, D. W., Jr. and Lemeshow, S. (1989), Applied Logistic Regression, New York: John Wiley & Sons.
Huber, P. J. (1973), "Robust Regression: Asymptotics, Conjectures and Monte Carlo," Annals of Statistics, 1, 799-821.
Johnston, J. (1972), Econometric Methods, New York: McGraw-Hill.
Kennedy, W. J. and Gentle, J. E. (1980), Statistical Computing, New York: Marcel Dekker.
Kvalseth, T. O. (1985), "Cautionary Note about ," The American Statistician, 39, 279–285.
Lee, Y. (1972), "Some Results on the Distribution of Wilk’s Likelihood Ratio Criterion," Biometrika, 95, 649.
Mallows, C. L. (1973), "Some Comments on ," Technometrics, 15, 661–75.
Mardia, K. V., Kent, J. T., and Bibby, J. M. (1979), Multivariate Analysis, London: Academic Press.
Morrison, D. F. (1976), Multivariate Statistical Methods, Second Edition, New York: McGraw-Hill.
Mosteller, F. and Tukey, J. W. (1977), Data Analysis and Regression, Reading, MA: Addison-Wesley.
Muller, K. (1998), "A New Approximation for the Pillai-Bartlett Trace Under H0," Journal of Computational and Graphical Statistics, 7, 131–137.
Neter, J. and Wasserman, W. (1974), Applied Linear Statistical Models, Homewood, IL: Irwin.
Pillai, K. C. S. (1960), Statistical Table for Tests of Multivariate Hypotheses, Manila: The Statistical Center, University of Philippines.
Pillai, K. C. S. and Flury, B. N. (1984), "Percentage Points of the Largest Characteristic Root of the Multivariate Beta Matrix," Communications in Statistics, Part A, 13, 2199–2237.
Pindyck, R. S. and Rubinfeld, D. L. (1981), Econometric Models and Econometric Forecasts, Second Edition, New York: McGraw-Hill.
Rao, C. R. (1973), Linear Statistical Inference and Its Applications, Second Edition, New York: John Wiley & Sons.
Rawlings, J. O. (1988), Applied Regression Analysis: A Research Tool, Pacific Grove, CA: Wadsworth & Brooks/Cole Advanced Books & Software.
Rousseeuw, P. J. (1984), "Least Median of Squares Regression," Journal of the American Statistical Association, 79, 871–880.
Rousseeuw, P. J. and Yohai, V. (1984), "Robust Regression by Means of S Estimators," in Robust and Nonlinear Time Series Analysis, ed. J. Franke, W. Härdle, and R. D. Martin, Lecture Notes in Statistics, 26, New York: Springer-Verlag, 256–274.
Timm, N. H. (1975), Multivariate Analysis with Applications in Education and Psychology, Monterey, CA: Brooks-Cole.
Weisberg, S. (1985), Applied Linear Regression, Second Edition. New York: John Wiley & Sons.
Yohai V. J. (1987), "High Breakdown Point and High Efficiency Robust Estimates for Regression," Annals of Statistics, 15, 642–656.
Younger, M. S. (1979), Handbook for Linear Regression, North Scituate, MA: Duxbury Press.