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Technometrics Volume 25, 1983 - Issue 3
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Original Articles

Developments in Linear Regression Methodology: 1959–l982

R. R. Hocking Institute of Statistics Texas A&M University, College Station, TX, 77843
Pages 219-230 | Published online: 23 Mar 2012

REFERENCES AND BIBLIOGRAPHY

  • Allen , D. M. and Cady , F. B. 1982 . Analyzing Experimental Data by Regression Belmont , Calif. : Lifetime Learning Publications. .
  • Belsley , D. A. , Kuh , E. and Welsch , R. 1980 . Regression Diagnostics: Identifying Influential Data and Sources of Collinearity New York : John Wiley. .
  • Chatterjee , S. and Price , B. 1977 . Regression Analysis by Example New York : John Wiley. .
  • Cohen , J. and Cohen , P. 1975 . Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences New York : Halsted. .
  • Cook , R. D. and Weisberg , S. 1982 . Residuals and Influence in Regression New York : Chapman and Hall. .
  • Daniel , C. and Wood , F. S. 1980 . Fitting Equations to Data, , 2nd Ed. New York : John Wiley. .
  • Draper , N. R. and Smith , H. 1966 . Applied Regression Analysis, , 1st Ed. New York : John Wiley. .
  • Draper , N. R. and Smith , H. 1981 . Applied Regression Analysis, , 2nd Ed. New York : John Wiley. .
  • Dunn , O. J. and Clark , V. A. 1974 . Applied Statistics: Analysis of Variance and Regression New York : John Wiley. .
  • Ezekiel , M. and Fox , K. A. 1959 . Methods of Correlation and Regression Analysis, , 3rd Ed. New York : John Wiley. .
  • Freund , R. J. and Minton , P. D. 1979 . Regression Methods New York : Marcel Dekker. .
  • Gunst , R. F. and Mason , R. L. 1980 . Regression Analysis and its Application: A Data-Oriented Approach New York : Marcel Dekker. .
  • Huber , P. J. 1981 . Robust Statistics New York : John Wiley. .
  • Johnston , J. 1972 . Econometric Methods, , 2nd Ed. New York : McGraw-Hill. .
  • Kleinbaum , D. G. and Kupper , L. L. 1978 . Applied Regression Analysis and Other Multivariable Methods North Scituate , Mass. : Duxbury Press. .
  • Montgomery , D. C. and Peck , E. A. 1982 . Introduction to Linear Regression Analysis New York : John Wiley. .
  • Mosteller , F. and Tukey , J. W. 1977 . Data Analysis and Regression Reading , Mass. : Addison-Wesley. .
  • Neter , J. and Wasserman , W. 1974 . Applied Linear Statistical Models Homewood , III. : Irwin. .
  • Plackett , R. L. 1960 . Regression Analysis Oxford , , England : Clarendon Press. .
  • Seber , G. A. F. 1977 . Linear Regression Analysis New York : John Wiley. .
  • Sprent , P. 1969 . Models in Regression and Related Topics London : Methuen. .
  • Vinod , H. D. 1980 . Recent Advances in Regression Methods New York : Marcel Dekker. .
  • Weisberg , S. 1980 . Applied Linear Regression New York : John Wiley. .
  • Wesolowsky , G. O. 1976 . Multiple Regression and Analysis of Variance New York : John Wiley. .
  • Williams , E. J. 1959 . Regression Analysis New York : John Wiley. .
  • Younger , M. S. 1980 . Handbook for Linear Regression North Scituate , Mass. : Duxbury Press. .

Research Papers

  • Aitkin , M. A. 1974 . “Simultaneous Inference and the Choice of Variable Subsets in Multiple Regression,” . Technometrics , 16 : 221 – 227 .
  • Alldredge , J. R. and Gilb , N. S. 1976 . “Ridge Regression: An Annotated Bibliography,” . International Statistical Review , 44 : 355 – 360 .
  • Allen , D. M. 1971 . “Mean Square Error of Prediction as a Criterion for Selecting Variables,” . Technometrics , 13 : 469 – 475 .
  • Allen , D. M. 1974 . “The Relationship Between Variable Selection and Data Augmentation and a Method for Prediction,” . Technometrics , 16 : 125 – 127 .
  • Andrew , D. F. 1974 . “A Robust Method for Multiple Linear Regression,” . Technometrics , 16 : 523 – 531 .
  • Andrew , D. F. and Pregibon , D. 1978 . “Finding the Outliers that Matter,” . Journal of the Royal Statistical Society , 40 : 85 – 93 . Ser. B
  • Anscombe , F. J. 1961 . “Examination of Residuals,” . Proceedings of the Fourth Berkeley Symposium , I : 1 – 36 .
  • Anscombe , F. J. 1967 . “Topics in the Investigation of Linear Relations Fitted by the Method of Least Squares,” . Journal of the Royal Statistical Society , 29 : 1 – 29 . Ser. B
  • Anscombe , F. J. and Tukey , J. W. 1963 . “The Examination and Analysis of Residuals,” . Technometrics , 5 : 141 – 160 .
  • Armstrong , R. , Frome , E. and Kung , D. 1979 . “A Revised Simplex Algorithm for the Absolute Deviation Curve Fitting Problem,” . Communications in Statistics , BA : 175 – 189 .
  • Atkinson , A. C. 1973 . “Testing Transformations to Normality,” . Journal of the Royal Statistical Society , 35 : 473 – 479 . Ser. B
  • Atkinson , A. C. 1981 . “Two Graphical Displays for Outlying and Influential Observations in Regression,” . Biometrika , 68 : 13 – 20 .
  • Atkinson , A. C. 1982a . “Regression Diagnostics, Transformations and Constructed Variables,” . Journal of the Royal Statistical Society , 44 : 1 – 22 .
  • Atkinson , A. C. 1982b . “Robust and Diagnostic Regression Analysis,” . Communications in Statistics , 11 : 2559 – 2572 .
  • Baskerville , J. D. and Toogood , J. H. 1982 . “Guided Regression Modeling for Prediction and Exploration of Structure with Many Explanatory Variables,” . Technometrics , 24 : 9 – 17 .
  • Bates , D. M. and Watts , D. G. 1980 . “Relative Curvature Measures of Nonlinearity,” . Journal of the Royal Statistical Society , 42 : 1 – 16 . Ser. B
  • Bates , D. M. and Watts , D. G. 1981 . “A Relative Offset Orthogonality Convergence Criterion for Nonlinear Least Squares,” . Technometrics , 23 : 179 – 184 .
  • Beale , E. M. L. 1960 . “Confidence Regions in Nonlinear Estimation,” . Journal of the Royal Statistical Society , 22 : 41 – 76 . Ser. B
  • Beale , E. M. L. 1970 . “Note on Procedures for Variable Selection in Multiple Regression,” . Technometrics , 12 : 909 – 914 .
  • Beale , E. M. L. , Kendall , M. G. and Mann , D. W. 1967 . “The Discarding of Variables in Multivariate Analysis,” . Biometrika , 54 : 357 – 366 .
  • Beaton , A. E. , Rubin , D. B. and Barone , J. L. 1976 . “The Acceptability of Regression Solutions: Another Look at Computational Accuracy,” . Journal of the American Statistical Association , 71 : 158 – 168 .
  • Behnken , D. W. and Draper , N. R. 1972 . “Residuals and Their Variance Patterns,” . Technometrics , 14 : 101 – 111 .
  • Bendel , R. B. and Afifi , A. A. 1977 . “Comparison of Stopping Rules in Forward ‘Stepwise’ Regression,” . Journal of the American Statistical Association , 72 : 46 – 53 .
  • Berk , K. N. 1978 . “Comparing Subset Regression Procedures,” . Technometrics , 20 : 1 – 6 .
  • Bickel , P. J. and Doksum , K. A. 1981 . “An Analysis of Transformations Revisited,” . Journal of the American Statistical Association , 76 ( 29&3 ) : 11
  • Box , G. E. P. 1980 . “Sampling and Bayes Inference in Scientific Modelling and Robustness,” . Journal of the Royal Statistical Society , 143 : 383 – 404 . Ser. A
  • Box , G. E. P. and Cox , D. R. 1964 . “An Analysis of Transformations,” . Journal of the Royal Statistical Society , 26 : 211 – 243 . Ser. B
  • Box , G. E. P. and Tidwell , P. W. 1962 . “Transformations of the Independent Variables,” . Technometrics , 4 : 531 – 550 .
  • Bradley , R. A. and Srivastava , S. S. 1979 . “Correlation in Polynomial Regression,” . The American Statistician , 33 : 11 – 14 .
  • Carroll , R. J. 1980 . “On A Robust Method for Testing Transformations to Achieve Approximate Normality,” . Journal of the Royal Statistical Society , 42 : 71 – 78 . Ser. B
  • Carroll , R. J. and Ruppert , D. 1981 . “Prediction and the Power Transformation Family,” . Biometrika , 68 : 609 – 616 .
  • 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 Americam Statistical Association , 74 : 169 – 174 .
  • Cook , R. D. and Weisberg , S. 1980 . “Characterizations of an Empirical Influence Function for Detecting Influential Cases in Regression,” . Technometrics , 22 : 495 – 508 .
  • Cook , R. D. and Weisberg , S. 1982 . “Influential Cases and Transformations,” San Francisco , CA : Proceedings of the SAS Users Group. .
  • Dempster , A. P. and Gasko-Green , M. 1981 . “New Tools for Residual Analysis,” . Annals of Statistics , 9 : 945 – 959 .
  • Dempster , A. P. , Schatzoff , M. and Wermuth , N. 1977 . “A Simulation Study of Alternatives to Least Squares,” . Journal ofthe American Statistical Association , 72 : 77 – 106 .
  • Denby , L. and Larson , W. A. 1977 . “Robust Estimators Compared via Monte Carlo,” . Communications in Statistics , A6 : 335 – 362 .
  • Denby , L. and Mallows , C. L. 1977 . “Two Diagnostic Displays for Robust Regression Analysis,” . Technometrics , 19 : 1 – 13 .
  • Dent , W. T. and Cavander , D. C. 1977 . “More on Computational Accuracy in Regression,” . Journal of the American Statistical Association , 72 : 598 – 600 .
  • Draper , N. R. 1982 . “Applied Regression Analysis Bibliography Update 1981,” University of Wisconsin Technical Report 667
  • Draper , N. R. and John , J. A. 1981 . “Influential Observations and Outliers in Regression,” . Technometrics , 23 : 21 – 26 .
  • Draper , N. R. and Van Nostrand , R. C. 1979 . “Ridge Regression and James-Stein Estimation: Review and Comments,” . Technometrics , 21 : 451 – 466 .
  • Duncan , J. T. 1978 . “An Empirical Study of Jackknife-Constructed Confidence Regions in Nonlinear Regression,” . Technometrics , 20 : 123 – 129 .
  • Eddy , W. F. and Kadane , J. B. 1982 . “The Cost of Drilling for Oil and Gas: An Application of Constrained Robust Regression,” . Journal of the American Statistical Association , 77 : 262 – 269 .
  • Efroymson , M. A. 1960 . “Multiple Regression Analysis,”. ” . In Mathematical Methodsfor Digital Computers Edited by: Ralston , A. and Wilf , H. S. New York : John Wiley. .
  • Fox , T. , Hinkley , D. and Larntz , K. 1980 . “Jackknifing in Nonlinear Regression,” . Technometrics , 22 : 29 – 34 .
  • Freund , R. J. 1963 . “A Warning of Roundoff Errors in Regression,” . The American Statistician , 17 : 13 – 15 .
  • Freund , R. J. , Vail , R. W. and Clunies-Ross , C. W. 1961 . “Residual Analysis,” . Journal of the American Statistical Association , 56 : 98 – 104 .
  • Furnival , G. M. 1971 . “All Possible Regressions with Less Computation,” . Technometrics , 13 : 403 – 408 .
  • Furnival , G. M. and Wilson , R. W. 1974 . “Regression by Leaps and Bounds,” . Technometrics , 16 : 499 – 511 .
  • Garside , M. J. 1965 . “The Best Subset in Multiple Regression Analysis,” . Applied Statistician , 14 : 196 – 200 .
  • Gaylor , D. W. and Merrill , J. A. 1968 . “Augmenting Existing Data in Multiple Regression,” . Technometrics , 10 : 73 – 81 .
  • Gentile , J. E. , Kennedy , W. J. and Sposito , V. A. 1977 . “On Least Absolute Values Estimation,” . Communications in Statistics , A6 : 838 – 845 .
  • Gibbons , D. G. 1981 . “A Simulation Study of Some Ridge Estimators,” . Journal of the American Statistical Association , 76 : 131 – 139 .
  • Goldberger , A. S. 1961 . “Stepwise Least Squares: Residual Analysis and Specification,” . Journal of the American Statistical Association , 56 : 998 – 1000 .
  • Gorman , J. W. and Toman , R. J. 1966 . “Selection of Variables for Fitting Equations to Data.” . Technometrics , 8 : 27 – 51 .
  • Gross , A. M. 1977 . “Confidence Intervals for Bisquare Regression Estimates,” . Journal of the American Statistical Association , 72 : 341 – 354 .
  • Guttman , I. and Meeter , D. A. 1965 . “On Beale's Measures of Nonlinearity,” . Technometrics , 7 : 623 – 637 .
  • Hamouda , E. M. and Leone , F. C. 1977a . “Efficiency of Ordinary Least Squares Estimators from Trimmed and Winsorized Samples in Linear Regression,” . Technometrics , 19 : 265 – 273 .
  • Hamouda , E. M. and Leone , F. C. 1977b . “The Robustness of ElIiciency of Adjusted Trimmed Estimators in Linear Regression,” . Technometrics , 19 : 19 – 34 .
  • Hampel , F. R. 1974 . “The Influence Curve and its Role in Robust Estimation,” . Journal of the American Statistical Association , 69 : 383 – 394 .
  • Hartley , H. O. 1961 . “The Modified Gauss-Newton Method for the Fitting of Nonlinear Regression Functions by Least Squares,” . Technometrics , 3 : 269 – 280 .
  • Hartley , H. O. 1964 . “Exact Confidence Regions for the Parameters in Nonlinear Regression Laws,” . Biometrika , 51 : 547 – 553 .
  • Helms , R. W. 1974 . “The Average Estimated Variance Criterion for the Selection of Variables Problem in General Linear Models,” . Technometrics , 16 : 261 – 273 .
  • Hemmerle , W. J. and Brantle , T. F. 1978 . “Explicit and Constrained Generalized Ridge Estimation,” . Technometrics , 20 : 109 – 120 .
  • Hemmerle , W. J. and Brantle , T. F. 1974 . “An Explicit Solution for Generalized Ridge Regression,” . Technometrics , 17 : 309 – 314 .
  • Henderson , H. V. and Velleman , P. F. 1981 . “Building Multiple Regression Models Interactively,” . Biometrics , 37 : 391 – 411 .
  • Hinkley , D. V. 1977 . “On Quick Choice of Power Transformation,” . Applied Statistician , 26 : 67 – 68 .
  • Hill , R. and Holland , P. W. 1977 . “Two Robust Alternatives to Least Squares Regression,” . Journal of the American Statistical Association , 72 : 828 – 833 .
  • Hintze , H. L. 1980 . “On the Use of Elemental Analysis in Multivariate Variable Selection,” . Technometrics , 22 : 609 – 612 .
  • Hoaglin , D. C. and Welsch , R. E. 1978 . “The Hat Matrix in Regression and ANOVA,” . The American Statistician , 32 : 17 – 22 .
  • Hocking , R. R. 1972 . “Criteria for Selection of a Subset Regression: Which One Should be Used,” . Technometrics , : 967 – 970 .
  • Hocking , R. R. 1974 . “Misspecification in Regression,” . The American Statistician , 29 : 39 – 40 .
  • Hocking , R. R. 1976 . “The Analysis and Selection of Variables in Linear Regression,” . Technometrics , 18 : 425 – 438 .
  • Hocking , R. R. and Dunn , M. R. “Collinearity, Influential Data and Ridge Regression,” . Paper presented at University of Delaware Symposium on Ridge Regression .
  • Hocking , R. R. and Leslie , R. N. 1967 . “Selection of the Best Subset in Regression Analysis,” . Technometrics , 9 : 531 – 540 .
  • Hocking , R. R. and Pendleton , O. J. 1983 . “The Regression Dilemma,” . Communications in Statistics , 12 to appear
  • Hocking , R. R. , Speed , F. M. and Lynn , M. J. 1976 . “A Class of Biased Estimators in Linear Regression,” . Technometrics , 1 : 425 – 438 .
  • Hoerl , A. E. 1962 . “Application of Ridge Analysis to Regression Problems,” . Chemical Engineering Progress , 58 : 54 – 59 .
  • Hoerl , A. E. and Kennard , R. W. 1970a . “Ridge Regression: Biased Estimation for Non-Orthogonal Problems,” . Technometrics , 12 : 55 – 67 .
  • Hoerl , A. E. and Kennard , R. W. 1970b . “Ridge Regression: Applications to Non-Orthogonal Problems,” . Technometrics , 12 : 69 – 82 . correction, 723
  • Hoerl , A. E. and Kennard , R. W. 1981 . “Ridge Regression 1980: Advances Algorithms and Applications,” . American Journal of Mathematical and Management Science , 1 : 5 – 83 .
  • Hoerl , A. E. and Kennard , R. W. 1982 . “Ridge Regression Bibliography Update,” Wilmington , DE : DuPont Co. . Accession Report 16487
  • Holland , P. W. and Welsch , R. E. 1977 . “Robust Regression Using Iteratively Reweighted Least Squares,” . Communications in Statistics , A6 : 813 – 827 .
  • Huber , P. J. 1972 . “Robust Statistics: A Review,” . Annals of Mathematical Statistics , 43 : 104 – 1067 .
  • Huber , P. J. 1973 . “Robust Regression: Asymptotics, Conjectures and Monte Carlo,” . Annals of Statistics , 1 : 799 – 821 .
  • John , J. A. and Draper , N. R. 1980 . “An Alternative Family of Transformations,” . Applied Statistics , 29 : 193 – 197 .
  • Kirton , H. C. 1967 . “Best Models in Multiple Regression Analysis,” Sydney , , Australia : N.S.W. Department of Agriculture. .
  • Krasker , W. S. and Welsch , R. E. 1982 . “Efficient Bounded Influence Regression Estimation,” . Journal of the American Statistical Association , 77 : 595 – 604 .
  • Larsen , W. A. and McCleary , S. J. 1972 . “The Use of Partial Residual Plots in Regression Analysis.” . Technometrics , 14 : 781 – 790 .
  • Lamone , L. R. and Hocking , R. R. 1970 . “Computational Elliciency in the Selection of Regression Variables,” . Technometrics , 12 : 83 – 93 .
  • Lawless , J. F. and Singal , K. 1978 . “Efficient Screening of Non-Normal Regression Models,” . Biometrics , 34 : 318 – 327 .
  • Longley , J. W. 1967 . “An Appraisal of Least Squares Programs for the Electronic Computer From the Point of View of the User,” . Journal of the American Statistical Association , 62 : 819 – 841 .
  • Mallows , C. L. “Choosing Variables in a Linear Regression: A Graphical Aid,” . presented at the Central Regional Meeting of the Institute of Mathematical Statistics . Manhattan , KS .
  • Mallows , C. L. “Choosing a Subset Regression,” . Presented at Joint Statistical Meetings . Los Angeles , CA .
  • Mallows , C. L. 1973 . “Some Comments on C,” . Technometrics , 15 : 661 – 675 .
  • Mallows , C. L. “Influence Functions,” . paper presented at NBER Conference on Robust Estimation . Cambridge , MA .
  • Mallows , C. L. 1975 . “On Topics in Robustness,” Murray Hill , NJ : Bell Telephone Labs. . unpublished memorandum
  • Mallows , C. L. 1982 . “Discussion of Atkinson” (1982a) . Journal of the Royal Statistical Society , 44 : 29
  • Mantel , N. 1970 . “Why Stepdown Procedures in Variable Selection,” . Technometrics , 12 : 621 – 625 .
  • Marquardt , D. W. 1963 . “An Algorithm for Least Squares Estimation of Nonlinear Parameters,” . Journal of the Society for Industrial Applied Mathematics , 2 : 431 – 441 .
  • Marquardt , D. W. 1970 . “Generalized Inverses, Ridge Regression, Biased Linear Estimation and Nonlinear Estimation,” . Technometrics , 12 : 591 – 612 .
  • Marquardt , D. W. and Snee , R. D. 1975 . “Ridge Regression in Practice,” . The American Statistician , 29 : 3 – 19 .
  • Mason , R. L. , Gunst , R. F. and Webster , J. T. 1975 . “Regression Analysis and Problems of Multicollinearity,” . Communications in Statistics , 4 : 277 – 292 .
  • Mayer , L. S. and Wilke , T. A. 1973 . “On Biased Estimation in Linear Models,” . Technometrics , 15 : 497 – 508 .
  • Mcdonald , G. C. 1980 . “Some Algebraic Properties of Ridge Regression,” . Journal of the Royal Statistical Society , 42 : 31 – 34 . Ser. B
  • Morgan , J. A. and Tatar , J. F. 1972 . “Calculation of Residual Sum of Squares for All Possible Regressions,” . Technometrics , 14 : 317 – 25 .
  • Narula , S. C. and Wellington , J. F. 1977 . “Prediction, Linear Regression and the Minimum Sum of Relative Errors,” . Technometrics , 14 : 217 – 25 .
  • Narula , S. C. and Wellington , J. F. 1979 . “Selection of Variables in Linear Regression Using the Minimum Sum of Weighted Absolute Errors Criterion,” . Technometrics , 21 : 299 – 306 .
  • Nelder , J. A. and Wedderburn , R. W. M. 1972 . “Generalized Linear Models,” . Journal of the Royal Statistical Society , 135 : 370 – 384 . Ser. A
  • Newton , R. G. and Spurrell , D. J. 1967 . “Examples of the Use of Elements for Clarifying Regression Analysis,” . Applied Statistics , 16 : 165 – 172 .
  • Nordberg , L. 1982 . “On Variable Selection in Generalized Linear and Related Regression Models,” . Communications in Statistics , 11 : 2427 – 2450 .
  • O'Reilly , F. J. 1975 . “On a Criterion for Extrapolation in Normal Regression,” . Annals of Statistics , 3 : 219 – 222 .
  • O'Reilly , F. J. 1976 . “On a Criterion for Simultaneous Extrapolation in Nonfull Rank Regression,” . Annals ofstatistics , 4 : 625 – 628 .
  • Pan , R. Q. 1980 . “A Comparison of Robust Estimators in Linear Regression,” Department of Statistics, Mississippi State University. . unpublished masters thesis
  • Pasternack , B. and Liuzzi , A. 1965 . “Patterns in Residuals: A Test for Regression Model Adequacy in Radionuclide Assay,” . Technometrics , 7 : 603 – 622 .
  • Pope , P. T. and Webster , J. T. 1972 . “The Use of an F-Statistic in Stepwise Regression Procedures,” . Technometrics , 14 : 327 – 349 .
  • Pregibon , D. 1981 . “Logistic Regression Diagnostics,” . Annals of Statistics , 9 : 705 – 724 .
  • Pregibon , D. 1982 . “Resistant Fits for Some Commonly Used Logistic Models with Medical Applications,” . Biometrics , 38 : 485 – 498 .
  • Rencher , A. C. and Pun , F. C. 1980 . “Inflation of R-Squared in Best Subset Regression,” . Technometrics , 22 : 49 – 54 .
  • Schatzoff , M. , Fienberg , S. and Tsao , R. 1968 . “Efficient Calculation of all Possible Regressions,” . Technometrics , 10 : 769 – 79 .
  • Smith , G. 1980 . “An Example of Ridge Regression Difficulties,” . Canadian Journal of Statistics , 8 : 217 – 225 .
  • Smith , G. and Campbell , F. 1980 . “A Critique of Some Ridge Regression Methods,” . Journal of the American Statistical Association , 75 : 74 – 81 .
  • Snee , R. D. 1977 . “Validation of Regression Models: Methods and Examples,” . Technometrics , 19 : 415 – 428 .
  • Stigler , S. M. 1981 . “Gauss and the Invention of Least Squares,” . Annals of Statistics , 9 : 465 – 474 .
  • Stone , M. 1974 . “Cross-Validatory Choice and Assessment of Statistical Predictions,” . Journal of the Royal Statistical Society , 36 : 111 – 147 . Ser. B
  • Thompson , M. L. 1978a . “Selection of Variables in Multiple Regression: Part 1. A Review and Evaluation,” . International Statistical Review , 46 : 1 – 20 .
  • Thompson , M. L. 1978b . “Selection of Variables in Multiples Regression: Part II. Chosen Procedures, Computations and Examples,” . International Statistical Review , 46 : 129 – 146 .
  • Velleman , P. F. and Welsch , R. E. 1981 . “Efficient Computing of Regression Diagnostic,” . The American Statistician , 35 : 234 – 242 .
  • Wagner , H. W. 1957 . “Linear Programming Techniques for Regression Analysis,” . Journal of the American Statistical Association , 54 : 206 – 212 .
  • Webster , J. T. , Gunst , R. F. and Mason , R. L. 1974 . “Latent Root Regression Analysis,” . Technometrics , 16 : 513 – 522 .
  • Welsch , R. E. 1980 . “Regression Sensitivity Analysis and Bounded Influence Estimation,”. ” . In Evaluation of Econometric Models Edited by: Kmenta , J. and Ramsey , J. New York : Academic Press. .
  • Welsch , R. E. 1981 . “Influence Functions and Regression Diagnostics,”. ” . In Modern Data Analysis Edited by: Launer , R. and Siegel , A. New York : Academic Press. .
  • Wichern , D. W. and Churchill , G. A. 1978 . “A Comparison of Ridge Estimators,” . Technometrics , 20 : 301 – 311 .
  • Willan , A. R. and Watts , D. G. 1978 . “Meaningful Multicollinearity Measures,” . Technometrics , 20 : 407 – 412 .
  • Wood , F. S. 1973 . “The Use of Individual Effects and Residuals in Fitting Equations to Data,” . Technometrics , 15 : 677 – 695 .
  • Yale , C. and Forsythe , A. B. 1976 . “Winsorized Regression,” . Technometrics , 18 : 291 – 300 .
  • Young , A. S. 1982 . “The Bivar Criterion for Selecting Regressors,” . Technometrics , 24 : 181 – 189 .

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