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Communications in Statistics - Simulation and Computation Volume 26, 1997 - Issue 3
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Original Articles

Graphical methods for evaluating ridge regression estimator in mixture experiments

Dae Heung Jang Department of Applied Mathematics, Pukyong National University, Pusan, 608-737, Republic of Korea
&
Min Yoon Department of Applied Mathematics, Pukyong National University, Pusan, 608-737, Republic of Korea
Pages 1049-1061 | Received 01 Dec 1995, Published online: 27 Jun 2007

Citations (6)

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Read on this site (2)

Kadri Ulas Akay. (2014) A graphical evaluation of logistic ridge estimator in mixture experiments. Journal of Applied Statistics 41:6, pages 1217-1232.
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Hernán Rubio & Luis Firinguetti. (2002) THE DISTRIBUTION OF STOCHASTIC SHRINKAGE PARAMETERS IN RIDGE REGRESSION. Communications in Statistics - Theory and Methods 31:9, pages 1531-1547.
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Articles from other publishers (4)

Dae-Heung Jang & Christine M. Anderson-Cook. (2015) Visualization Approaches for Evaluating Ridge Regression Estimators in Mixture and Mixture-Process Experiments. Quality and Reliability Engineering International 31:8, pages 1483-1494.
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Ali Erkoc, Esra Emiroglu & Kadri Ulas Akay. (2014) Graphical Evaluation of the Ridge-Type Robust Regression Estimators in Mixture Experiments. The Scientific World Journal 2014, pages 1-9.
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Luis Firinguetti & Gladys Bobadilla. (2009) Asymptotic confidence intervals in ridge regression based on the Edgeworth expansion. Statistical Papers 52:2, pages 287-307.
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Dae‐Heung Jang & Christine M. Anderson‐Cook. (2011) Fraction of design space plots for evaluating ridge estimators in mixture experiments. Quality and Reliability Engineering International 27:1, pages 27-34.
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