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IIE Transactions Volume 25, 1993 - Issue 3
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TECHNICAL NOTE

PREDICTION USING REGRESSION MODELS WITH MULTICOLLINEAR PREDICTOR VARIABLES

DOUGLAS C. MONTGOMERY Department of Industrial and Management Systems Engineering, Arizona State University, Tempe, AZ
&
DAVID J. FRIEDMAN AT&T Bell Laboratory, Murray Hill, NJ
Pages 73-85 | Received 01 Dec 1988, Published online: 30 May 2007

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Özge Kuran & M. Revan Özkale. (2021) Marginal ridge conceptual predictive model selection criterion in linear mixed models. Communications in Statistics - Simulation and Computation 50:2, pages 581-607.
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Özge Kuran & M. Revan Özkale. (2019) Model selection via conditional conceptual predictive statistic under ridge regression in linear mixed models. Journal of Statistical Computation and Simulation 89:1, pages 155-187.
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T. Söküt Açar & M.R. Özkale. (2016) Cross validation of ridge regression estimator in autocorrelated linear regression models. Journal of Statistical Computation and Simulation 86:12, pages 2429-2440.
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Xu-Qing Liu, Feng Gao & Zhen-Feng Yu. (2013) Improved ridge estimators in a linear regression model. Journal of Applied Statistics 40:1, pages 209-220.
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Xu-Qing Liu, Feng Gao & Jian-Wen Xu. (2012) Linearized Restricted Ridge Regression Estimator in Linear Regression. Communications in Statistics - Theory and Methods 41:24, pages 4503-4514.
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Xu-Qing Liu & Bo Li. (2012) General linear estimators under the prediction error sum of squares criterion in a linear regression model. Journal of Applied Statistics 39:6, pages 1353-1361.
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Xu-Qing Liu & Feng Gao. (2011) Linearized Ridge Regression Estimator in Linear Regression. Communications in Statistics - Theory and Methods 40:12, pages 2182-2192.
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Jian-Ying Rong. (2010) Adjustive Liu-Type Estimators in Linear Regression Models. Communications in Statistics - Simulation and Computation 39:6, pages 1162-1173.
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M. Revan Özkale & Selahattin Kaçıranlar. (2007) A Prediction-Oriented Criterion for Choosing the Biasing Parameter in Liu Estimation. Communications in Statistics - Theory and Methods 36:10, pages 1889-1903.
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Lianjie Shu, Fugee Tsung & Kailash C. Kapur. (2004) Design of Multiple Cause-Selecting Charts for Multistage Processes with Model Uncertainty. Quality Engineering 16:3, pages 437-450.
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Amir Javaheri & Ali A. Houshmand. (2001) Average run length comparison of multivariate control charts. Journal of Statistical Computation and Simulation 69:2, pages 125-140.
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AliA. Houshmand & Amir Javaheri. (1998) MULTIVARIATE RIDGE RESIDUAL CHARTS. Quality Engineering 10:4, pages 617-624.
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Articles from other publishers (9)

M. Revan Özkale & Özge Kuran. (2022) Model selection via conditional conceptual predictive statistic for mixed and stochastic restricted ridge estimators in linear mixed models. Concurrency and Computation: Practice and Experience 34:28.
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Selahattin KAÇIRANLAR, Issam DAWOUD & Dünya KARAPINAR. (2021) Linear Convex Combination Estimators and Comparisons. Adıyaman University Journal of Science.
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Erkut Tekeli, Nimet Özbay & Selahattin Kaçiranlar. (2020) Implementation and validation of new optimization methods by genetic algorithm for two‐parameter ridge estimator. Concurrency and Computation: Practice and Experience 33:9.
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B. Schaffrin, T.-S. Bae & Y. Felus. (2018) Optimal biased Kriging: Homeogram tapering and applications to geoid undulations in Korea. Journal of Geodetic Science 8:1, pages 154-161.
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Yu Tsu LinPo Shun Chen. (2017) Interaction Drives Marketing. Interaction Drives Marketing.
Wen Lan YangPo Shun Chen. (2017) E-food-traceability Learned by Consumers. E-food-traceability Learned by Consumers.
M. Revan Özkale. (2014) Predictive performance of linear regression models. Statistical Papers 56:2, pages 531-567.
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Xu-Qing Liu. (2011) Improved Liu estimator in a linear regression model. Journal of Statistical Planning and Inference 141:1, pages 189-196.
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Chao-Lung Yang, Yuehwern Yih, Yan-Fu Kuo, George Chiu & Jan Allebach. (2010) Improving Tone Prediction in Calibration of Electrophotographic Printers by Linear Regression: Using Principal Components to Account for Co-Linearity of Sensor Measurements. Journal of Imaging Science and Technology 54:5, pages 50302-1-50302-9.
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