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Theory and Method

A Simulation Study of Alternatives to Ordinary Least Squares

, &
Pages 77-91 | Received 01 May 1974, Published online: 06 Apr 2012

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A. E. Hoerl & R. W. Kennard. 2014. Wiley StatsRef: Statistics Reference Online. Wiley StatsRef: Statistics Reference Online.
Ritei Shibata. 2014. Wiley StatsRef: Statistics Reference Online. Wiley StatsRef: Statistics Reference Online.
Brad Case, Massimo Guidolin & Yildiray Yildirim. (2013) Markov Switching Dynamics in REIT Returns: Univariate and Multivariate Evidence on Forecasting Performance. Real Estate Economics 42:2, pages 279-342.
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Donald R. Jensen & Donald E. Ramirez. (2008) Anomalies in the Foundations of Ridge Regression. International Statistical Review 76:1, pages 89-105.
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Crossref
A. E. Hoerl & R. W. Kennard. 2004. Encyclopedia of Statistical Sciences. Encyclopedia of Statistical Sciences.
Ritei Shibata. 2004. Encyclopedia of Statistical Sciences. Encyclopedia of Statistical Sciences.
A. E. Hoerl & R. W. Kennard. 2004. Encyclopedia of Statistical Sciences. Encyclopedia of Statistical Sciences.
Ritei Shibata. 2004. Encyclopedia of Statistical Sciences. Encyclopedia of Statistical Sciences.
Juwon Song & Thomas R. Belin. (2004) Imputation for incomplete high‐dimensional multivariate normal data using a common factor model. Statistics in Medicine 23:18, pages 2827-2843.
Crossref
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Deepak K. Agarwal. (2002) Shrinkage estimator generalizations of Proximal Support Vector Machines. Shrinkage estimator generalizations of Proximal Support Vector Machines.
Elonio A. Muiuane & Laust B. Pedersen. (2001) 1D inversion of DC resistivity data using a quality‐based truncated SVD. Geophysical Prospecting 49:4, pages 387-394.
Crossref
Peiliang Xu. (1998) Truncated SVD methods for discrete linear ill-posed problems. Geophysical Journal International 135:2, pages 505-514.
Crossref
Peiliang Xu & Reiner Rummel. (1994) A Simulation Study of Smoothness Methods In Recovery of Regional Gravity Fields. Geophysical Journal International 117:2, pages 472-486.
Crossref
Sander Greenland. (2006) Methods for epidemiologic analyses of multiple exposures: A review and comparative study of maximum‐likelihood, preliminary‐testing, and empirical‐bayes regression. Statistics in Medicine 12:8, pages 717-736.
Crossref
Ilkka Mellin & Timo Teräsvirta. 1992. Readings in Econometric Theory and Practice - A Volume in Honor of George Judge. Readings in Econometric Theory and Practice - A Volume in Honor of George Judge 215 241 .
P.A.W. Lewis & R.L. Ressler. (1991) Average regression-adjusted controlled regenerative estimates. Average regression-adjusted controlled regenerative estimates.
. 1990. Regression Estimators. Regression Estimators 327 334 .
T.I. Kopysicky & E.V. Sergeenkova. (1989) Structural Adaptation System Based on Comparison of Identification B-Algorithms. IFAC Proceedings Volumes 22:16, pages 57-61.
Crossref
A. J. van der Merwe, P. C. N. Groenewald & C. A. van der Merwe. (1988) Approximated Bayes and empirical Bayes confidence intervals—The known variance case. Annals of the Institute of Statistical Mathematics 40:4, pages 747-767.
Crossref
Fassii Nebebe & T. W. F. Stroud. (2016) Bayes and Empirical Bayes Shrinkage Estimation of Regression Coefficients: A Cross-Validation Study. Journal of Educational Statistics 13:3, pages 199-213.
Crossref
Eugenio Sanchez & Bruce R. Kowalski. (2005) Tensorial calibration: I. First‐order calibration. Journal of Chemometrics 2:4, pages 247-263.
Crossref
EUGENE GRECHANOVSKY. (2006) Stepwise Regression Procedures: Overview, Problems, Results, and Suggestions. Annals of the New York Academy of Sciences 491:1, pages 197-232.
Crossref
Fassil Nebebe & T. W. F. Stroud. (2008) Bayes and empirical Bayes shrinkage estimation of regression coefficients. Canadian Journal of Statistics 14:4, pages 267-280.
Crossref
John D. Morris. (2016) Selecting a Predictor Weighting Method by Press. Educational and Psychological Measurement 46:4, pages 853-869.
Crossref
John D. Morris. (2016) Calculating a Stepwise Ridge Regression. Educational and Psychological Measurement 46:1, pages 151-155.
Crossref
S. S. Brier, S. Zacks & W. H. Marlow. (2006) An application of empirical bayes techniques to the simultaneous estimation of many probabilities. Naval Research Logistics Quarterly 33:1, pages 77-90.
Crossref
Shigeru Yoshioka. (1986) Multicollinearity and Avoidance in Regression Analysis. Behaviormetrika 13:19, pages 103-120.
Crossref
G. Barrie Wetherill, P. Duncombe, M. Kenward, J. Köllerström, S. R. Paul & B. J. VowdenG. Barrie Wetherill, P. Duncombe, M. Kenward, J. Köllerström, S. R. Paul & B. J. Vowden. 1986. Regression Analysis with Applications. Regression Analysis with Applications 82 107 .
M. Precht & P. S. S. N. V. P. Rao. (1985) An evaluation of biased estimators of regression coefficients—A simulation study. Statistische Hefte 26:1, pages 263-285.
Crossref
Philip BobkoF. Mark Schemmer. (2016) Eigenvalue Shrinkage in Principal Components Based Factor Analysis. Applied Psychological Measurement 8:4, pages 439-451.
Crossref
Sun F. Shih. (1984) Data Requirement for Evapotranspiration Estimation. Journal of Irrigation and Drainage Engineering 110:3, pages 263-274.
Crossref
Samuel D. Oman. (1984) A Different Empirical Bayes Interpretation of Ridge and Stein Estimators. Journal of the Royal Statistical Society Series B: Statistical Methodology 46:3, pages 544-557.
Crossref
Per‐Olov Edlund. (2006) Identification of the multi‐input box‐Jenkins transfer function model. Journal of Forecasting 3:3, pages 297-308.
Crossref
George Marsaglia & Ingram Olkin. (1984) Generating Correlation Matrices. SIAM Journal on Scientific and Statistical Computing 5:2, pages 470-475.
Crossref
Ronald G. Askin & Douglas C. Montgomery. (2006) An analysis of constrained robust regression estimators. Naval Research Logistics Quarterly 31:2, pages 283-296.
Crossref
J. T. Wright. (1984) Toxaemic Signs during Pregnancy. Journal of the Royal Statistical Society Series C: Applied Statistics 33:1, pages 73-76.
Crossref
Ian Spence. (2016) Monte Carlo Simulation Studies. Applied Psychological Measurement 7:4, pages 405-425.
Crossref
J. B. Copas. (1983) Regression, Prediction and Shrinkage. Journal of the Royal Statistical Society Series B: Statistical Methodology 45:3, pages 311-335.
Crossref
G.G. Judge & M.E. Bock. 1983. 599 649 .
W. S. Luk. 1983. Computer Science and Statistics: Proceedings of the 14th Symposium on the Interface. Computer Science and Statistics: Proceedings of the 14th Symposium on the Interface 287 290 .
Ronald G. Askin. (2006) Multicollinearity in regression: Review and examples. Journal of Forecasting 1:3, pages 281-292.
Crossref
WILLARD RODGERS. (2016) An Application of James-Stein Estimation to Survey Data. Sociological Methods & Research 10:4, pages 463-483.
Crossref
Vivian Faden & Philip Bobko. (2016) Validity Shrinkage in Ridge Regression: A Simulation Study. Educational and Psychological Measurement 42:1, pages 73-85.
Crossref
Gary C. McDonald. 1982. Statistical Decision Theory and Related Topics III. Statistical Decision Theory and Related Topics III 183 191 .
H J P Timmermans. (2016) Multiattribute Shopping Models and Ridge Regression Analysis. Environment and Planning A: Economy and Space 13:1, pages 43-56.
Crossref
James Fennessey & Ronald D'Amico. (2016) Collinearity, Ridge Regression, and Investigator Judgment. Sociological Methods & Research 8:3, pages 309-340.
Crossref
Philip J. Brown. (1980) Aspects of multivariate regression. Trabajos de Estadistica Y de Investigacion Operativa 31:1, pages 249-265.
Crossref
A. Van Der Merwe & J. V. Zidek. (2008) Multivariate regression analysis and canonical variates. Canadian Journal of Statistics 8:1, pages 27-39.
Crossref
Donald MacLaren. (2008) FORECASTING WHOLESALE PRICES OF MEATS IN THE UNITED KINGDOM BY FIDGE REGRESSION. Journal of Agricultural Economics 31:1, pages 15-27.
Crossref
Stefan H. Unger. 1980. Drug Design. Drug Design 47 119 .
L. Vanzulli, E. Magnien & L. Olivi. (1980) Caryological stability of Datura innoxia calli analysed by cytophotometry for 22 hormonal combinations. Plant Science Letters 17:2, pages 181-192.
Crossref
G. J. McLachlan. (2007) On the mean square error associated with adaptive generalized ridge regression. Biometrical Journal 22:2, pages 125-129.
Crossref
Richard M. Heiberger. (1979) Statistical software in APL. ACM SIGAPL APL Quote Quad 9:4-P1, pages 134-137.
Crossref
John DeeganJr.Jr.. (1979) Constructing statistical models of social processes. Quality and Quantity 13:2, pages 97-119.
Crossref
Chan-Fu Chen. (1979) Bayesian Inference for a Normal Dispersion Matrix and its Application to Stochastic Multiple Regression Analysis. Journal of the Royal Statistical Society Series B: Statistical Methodology 41:2, pages 235-248.
Crossref
Tarald O. Kvalseth. (1979) Regression Models of Emergency Medical Service Demand for Different Types of Emergencies. IEEE Transactions on Systems, Man, and Cybernetics 9:1, pages 10-17.
Crossref
Donald Maclaren. (2008) Forecasting Wholesale Prices of Meats in the United Kingdom: A Reply. Journal of Agricultural Economics 29:3, pages 335-336.
Crossref
A. E. Hoerl & R. W. Kennard. (2008) Forecasting Wholesale prices of Meats in the United Kingdom: A Comment. Journal of Agricultural Economics 29:3, pages 333-334.
Crossref
T.O. Kvålseth. (1978) First-and second-order ridge regression models of the rate of demand for emergency medical services. Applied Mathematical Modelling 2:3, pages 209-215.
Crossref
Björn Blomqvist, David Sumpter & Richard Mann. (2018) Explaining and Predicting the Rise of a Radical Right-Wing Party Using Gaussian Processes. SSRN Electronic Journal.
Crossref
L. Jan Reid. (2002) Is the CAPM a Biased Estimator of Market Risk?. SSRN Electronic Journal.
Crossref
Massimo Guidolin & Giovanna Nicodano. (2013) The Economic Value of Timing Higher Order (Co-)Moments in Bull and Bear Markets. SSRN Electronic Journal.
Crossref
Massimo Guidolin & Federica Ria. (2010) Regime Shifts in Mean-Variance Efficient Frontiers: Some International Evidence. SSRN Electronic Journal.
Crossref

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