|The REG Procedure|
Akaike, H. (1969), "Fitting Autoregressive Models for Prediction," Annals of the Institute of Statistical Mathematics, 21, 243 -247.
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.
Amemiya, T. (1976), "Selection of Regressors," Technical Report No. 225, Stanford, CA: Stanford University.
Belsley, D.A., Kuh, E., and Welsch, R.E. (1980), Regression Diagnostics, New York: John Wiley & Sons, Inc.
Berk, K.N. (1977), "Tolerance and Condition in Regression Computations," Journal of the American Statistical Association, 72, 863 -866.
Bock, R.D. (1975), Multivariate Statistical Methods in Behavioral Research, New York: McGraw-Hill Book Co.
Box, G.E.P. (1966), "The Use and Abuse of Regression," Technometrics, 8, 625 -629.
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, Inc.
Darlington, R.B. (1968), "Multiple Regression in Psychological Research and Practice," Psychological Bulletin, 69, 161 -182.
Draper, N. and Smith, H. (1981), Applied Regression Analysis, Second Edition, New York: John Wiley & Sons, Inc.
Durbin, J. and Watson, G.S. (1951), "Testing for Serial Correlation in Least Squares Regression," Biometrika, 37, 409 -428.
Freund, R.J. and Littell, R.C. (1986), SAS System for Regression, 1986 Edition, Cary, NC: SAS Institute Inc.
Furnival, G.M. and Wilson, R.W. (1974), "Regression by Leaps and Bounds," Technometrics, 16, 499 -511.
Gauss, K.F. (1809), Werke, 4, 1 -93.
Goodnight, J.H. (1979), "A Tutorial on the SWEEP Operator," The American Statistician, 33, 149 -158. (Also available as The Sweep Operator: Its Importance in Statistical Computing, SAS Technical Report R-106.)
Grunfeld, Y. (1958), "The Determinants of Corporate Investment," unpublished thesis, Chicago, discussed in Boot, J.C.G. (1960), "Investment Demand: An Empirical Contribution to the Aggregation Problem," International Economic Review, 1, 3 -30.
Hocking, R.R. (1976), "The Analysis and Selection of Variables in Linear Regression," Biometrics, 32, 1 -50.
Johnston, J. (1972), Econometric Methods, New York: McGraw-Hill Book Co.
Judge, G.G., Griffiths, W.E., Hill, R.C., and Lee, T. (1980), The Theory and Practice of Econometrics, New York: John Wiley & Sons, Inc.
Judge, G.G., Griffiths, W.E., Hill, R.C., Lutkepohl, H., and Lee, T.C. (1985), "The Theory and Practice of Econometrics," Second Edition, New York: John Wiley & Sons, Inc.
Kennedy, W.J. and Gentle, J.E. (1980), Statistical Computing, New York: Marcel Dekker, Inc.
Lewis, T. and Taylor, L.R. (1967), Introduction to Experimental Ecology, New York: Academic Press, Inc.
LaMotte, L.R. (1994), "A Note on the Role of Independence in t Statistics Constructed From Linear Statistics in Regression Models," The American Statistician, 48, 238 -240.
Lord, F.M. (1950), "Efficiency of Prediction when a Progression Equation from One Sample is Used in a New Sample," Research Bulletin No. 50-40, Princeton, NJ: Educational Testing Service.
Mallows, C.L. (1967), "Choosing a Subset Regression," unpublished report, Bell Telephone Laboratories.
Mallows, C.L. (1973), "Some Comments on Cp," Technometrics, 15, 661 -675.
Mardia, K.V., Kent, J.T., and Bibby, J.M. (1979), Multivariate Analysis, London: Academic Press, Inc.
Markov, A.A. (1900), Wahrscheinlichkeitsrechnung, Tebrer, Leipzig.
Marquardt, D.W. and Snee, R.D. (1975), "Ridge Regression in Practice," American Statistician, 29 (1), 3 -20.
Morrison, D.F. (1976), Multivariate Statistical Methods, Second Edition, New York: McGraw-Hill, Inc.
Mosteller, F. and Tukey, J.W. (1977), Data Analysis and Regression, Reading, MA: Addison-Wesley Publishing Co., Inc.
Neter, J., Wasserman, W., and Kutner, M.H. (1990), Applied Linear Statistical Models, Homewood, Illinois: Richard D. Irwin, Inc.
Neter, J., Wasserman, W., and Kutner, M. H. (1990), Applied Linear Statistical Models, Third Edition, Homewood, IL: Irwin.
Nicholson, G.E., Jr. (1948), "The Application of a Regression Equation to a New Sample," unpublished Ph.D. dissertation, University of North Carolina at Chapel Hill.
Pillai, K.C.S. (1960), Statistical Table for Tests of Multivariate Hypotheses, Manila: The Statistical Center, University of the Philippines.
Pindyck, R.S. and Rubinfeld, D.L. (1981), Econometric Models and Econometric Forecasts, Second Edition, New York: McGraw-Hill Book Co.
Pringle, R.M. and Raynor, A.A. (1971), Generalized Inverse Matrices with Applications to Statistics, New York: Hafner Publishing Company.
Rao, C.R. (1973), Linear Statistical Inference and Its Applications, Second Edition, New York: John Wiley & Sons, Inc.
Rawlings, J.O. (1988), Applied Regression Analysis: A Research Tool, Belmont, California: Wadsworth, Inc.
Rothman, D. (1968), Letter to the editor, Technometrics, 10, 432.
Sall, J.P. (1981), SAS Regression Applications, Revised Edition, SAS Technical Report A-102, Cary, NC: SAS Institute Inc.
Sawa, T. (1978), "Information Criteria for Discriminating Among Alternative Regression Models," Econometrica, 46, 1273 -1282.
Schwarz, G. (1978), "Estimating the Dimension of a Model," Annals of Statistics, 6, 461 -464.
Stein, C. (1960), "Multiple Regression," in Contributions to Probability and Statistics, eds. I. Olkin et al., Stanford, CA: Stanford University Press.
Timm, N.H. (1975), Multivariate Analysis with Applications in Education and Psychology, Monterey, CA: Brooks-Cole Publishing Co.
Weisberg, S. (1980), Applied Linear Regression, New York: John Wiley & Sons, Inc.
White, H. (1980), "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrics, 48, 817 -838.
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