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Original Articles

Latent Root Regression Analysis

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Pages 513-522 | Published online: 09 Apr 2012

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Jing Guan & Yunfeng Zhao. (2020) Parameter estimation approaches to tackling measurement error and multicollinearity in ordinal probit models. Communications in Statistics - Theory and Methods 49:16, pages 3835-3859.
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C.K. Chandrasekhar, H. Bagyalakshmi, M.R. Srinivasan & M. Gallo. (2016) Partial ridge regression under multicollinearity. Journal of Applied Statistics 43:13, pages 2462-2473.
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M. Revan Özkale & Engin Arıcan. (2016) A new biased estimator in logistic regression model. Statistics 50:2, pages 233-253.
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M. Revan Özkale. (2014) The relative efficiency of the restricted estimators in linear regression models. Journal of Applied Statistics 41:5, pages 998-1027.
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Jibo Wu & Hu Yang. (2014) On the Stochastic Restricted Almost Unbiased Estimators in Linear Regression Model. Communications in Statistics - Simulation and Computation 43:2, pages 428-440.
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John B. Guerard$suffix/text()$suffix/text(), John Blin, Steve Bender, Bernell K. Stone & James T. Wolfe. (1995) Outlier time-series models and analysts' forecasting of GNP and corporate earnings per share. Applied Financial Economics 5:2, pages 113-119.
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PaulH. Garthwaite. (1994) An Interpretation of Partial Least Squares. Journal of the American Statistical Association 89:425, pages 122-127.
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lldikoE. Frank & JeromeH. Friedman. (1993) A Statistical View of Some Chemometrics Regression Tools. Technometrics 35:2, pages 109-135.
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Robert L. Mason & Neil W. Blaylock$suffix/text()$suffix/text(). (1991) Ridge regression estimator comparisons using pitman's measure of closeness. Communications in Statistics - Theory and Methods 20:11, pages 3629-3641.
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Brian D. Marx. (1990) (2374. A continuum of principal component regressions. Journal of Statistical Computation and Simulation 37:3-4, pages 234-236.
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John B. Guerard$suffix/text()$suffix/text(). (1987) Composite forecasting using ridge regression. Communications in Statistics - Theory and Methods 16:4, pages 937-952.
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RogerW. Hoer1, JohnH. Schuenemeyer & ArthurE. Hoer1. (1986) A Simulation of Biased Estimation and Subset Selection Regression Techniques. Technometrics 28:4, pages 369-380.
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Robert L. Schaefer. (1986) Alternative estimators in logistic regression when the data are collinear. Journal of Statistical Computation and Simulation 25:1-2, pages 75-91.
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John B. Guerard$suffix/text()$suffix/text() & Carl R. Beidleman. (1986) Composite forecasting of annual earnings: an application of biased regression techniques. Journal of Statistical Computation and Simulation 24:1, pages 1-16.
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Timothy Cronan, Donald Epley & Larry Perry. (1986) The Use Of Rank Transformation And Multiple Regression Analysis In Estimating Residential Property Values With A Small Sample. Journal of Real Estate Research 1:1, pages 19-31.
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Bert M. Steece. (1986) Regressor space outliers in ridge regression. Communications in Statistics - Theory and Methods 15:12, pages 3599-3605.
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Robert L. Mason. (1986) Latent root regression: a biased regression methodology for use with collinear predictor variables. Communications in Statistics - Theory and Methods 15:9, pages 2651-2678.
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Raymond L. Horton & John B. Guerard. (1985) The management of executive compensation in large, dynamic firms: A further look. Communications in Statistics - Simulation and Computation 14:2, pages 441-448.
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R.R. Hocking. (1983) Developments in Linear Regression Methodology: 1959–l982. Technometrics 25:3, pages 219-230.
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R.R. Hocking & O.J. Pendleton. (1983) The regression dilemma. Communications in Statistics - Theory and Methods 12:5, pages 497-527.
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Tsushung A. Hua & Richard F. Gunst. (1983) Generalized ridge regression: a note on negative ridge parameters. Communications in Statistics - Theory and Methods 12:1, pages 37-45.
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DouglasM. Hawkins & W. J. R. Eplett. (1982) The Cholesky Factorization of the Inverse Correlation or Covariance Matrix in Multiple Regression. Technometrics 24:3, pages 191-198.
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John Mandel. (1982) Use of the Singular Value Decomposition in Regression Analysis. The American Statistician 36:1, pages 15-24.
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RonaldG. Arkin & DouglasC. Montgomery. (1980) Augmented Robust Estimators. Technometrics 22:3, pages 333-341.
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Harvey J. Iglarsh & David C. Cheng. (1980) Weighted estimators in regression with multicollinearity. Journal of Statistical Computation and Simulation 10:2, pages 103-112.
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J.W. White & R.F. Gunst. (1979) Latent Root Regression: Large Sample Analysis. Technometrics 21:4, pages 481-488.
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RichardF. Gunst & RobertL. Mason. (1979) Some Considerations in the Evaluation of Alternate Prediction Equations. Technometrics 21:1, pages 55-63.
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Richard F. Gunst. (1979) An approach to the programming of biased regression algorithms. Communications in Statistics - Simulation and Computation 8:2, pages 151-159.
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AndrewR. Willan & DonaldG. Watts. (1978) Meaningful Multicollinearity Measures. Technometrics 20:4, pages 407-412.
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GeorgeP. McCabe. (1978) Evaluation of Regression Coefficient Estimates Using α-Acceptability. Technometrics 20:2, pages 131-139.
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RichardF. Gunst & RobertL. Mason. (1977) Biased Estimation in Regression: An Evaluation Using Mean Squared Error. Journal of the American Statistical Association 72:359, pages 616-628.
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R.R. Hocking, F.M. Speed & M.J. Lynn. (1976) A Class of Biased Estimators in Linear Regression. Technometrics 18:4, pages 425-437.
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R.F. Gunst, J.T. Webster & R.L. Mason. (1976) A Comparison of Least Squares and Latent Root Regression Estimators. Technometrics 18:1, pages 75-83.
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R.F. Gunst & J.T. Webster. (1975) Regression analysis and problems of multicollinearity. Communications in Statistics 4:3, pages 277-292.
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