References


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.

Cleveland, W.S. (1993), Visualizing Data , Summit, NJ: Hobart Press.

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Grunfeld, Y. (1958), The Determinants of Corporate Investment, unpublished thesis, Chicago, discussed in Boot, J.C.G. (1960), Investment Demand: An Empirical Contribution to the Aggregation Problem, International Economic Review , 1,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 C p , 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.




SAS.STAT 9.1 Users Guide (Vol. 6)
SAS.STAT 9.1 Users Guide (Vol. 6)
ISBN: N/A
EAN: N/A
Year: 2004
Pages: 127

flylib.com © 2008-2017.
If you may any questions please contact us: flylib@qtcs.net