On the sensitivity of regression and regressors.

[1]  R. Dawes.  Judgment under uncertainty: The robust beauty of improper linear models in decision making , 1979 .

[2]  James E. Laughlin,et al.  Comment on "Estimating coefficients in linear models: It don't make no nevermind." , 1978 .

[3]  Robert M. Pruzek,et al.  Weighting predictors in linear models: Alternatives to least squares and limitations of equal weights. , 1978 .

[4]  S. Stigler.  Do Robust Estimators Work with Real Data , 1977 .

[5]  Daniel A. Relles,et al.  Statisticians are Fairly Robust Estimators of Location , 1977 .

[6]  N. Wermuth,et al.  A Simulation Study of Alternatives to Ordinary Least Squares , 1977 .

[7]  H. Wainer,et al.  Speed vs reaction time as a measure of cognitive performance , 1977, Memory & cognition.

[8]  Frederick Mosteller,et al.  Data Analysis and Regression , 1978 .

[9]  H. Wainer.  Robust Statistics: A Survey and Some Prescriptions , 1976 .

[10]  Howard Wainer,et al.  Estimating Coefficients in Linear Models: It Don't Make No Nevermind , 1976 .

[11]  H. Wainer,et al.  Three steps towards robust regression , 1976 .

[12]  Three Steps Toward Robust Regression. , 1976 .

[13]  A. E. Hoerl,et al.  Ridge regression iterative estimation of the biasing parameter , 1976 .

[14]  H. Wainer,et al.  When Jackknifing fails (or does it?) , 1975 .

[15]  A. E. Hoerl,et al.  Ridge regression:some simulations , 1975 .

[16]  R. Dawes,et al.  Linear models in decision making. , 1974 .

[17]  Bell Telephone,et al.  ROBUST ESTIMATES, RESIDUALS, AND OUTLIER DETECTION WITH MULTIRESPONSE DATA , 1972 .

[18]  A. E. Hoerl,et al.  Ridge Regression: Applications to Nonorthogonal Problems , 1970 .

[19]  William W. Rozeboom,et al.  Foundations of the theory of prediction , 1966 .

[20]  H. Gulliksen.  Theory of mental tests , 1952 .

[21]  W. A. Wallis,et al.  Statistics of the Kinsey report. , 1949, Journal of the American Statistical Association.

[22]  S. S. Wilks.  Weighting systems for linear functions of correlated variables when there is no dependent variable , 1938 .