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Visualization Approaches for Evaluating Ridge Regression Estimators in Mixture and Mixture-Process Experiments

  • Published:2014-07-11 Issue:8 Volume:31 Page:1483-1494
  • ISSN:0748-8017
  • Container-title:Quality and Reliability Engineering International
  • language:en
  • Short-container-title:Qual. Reliab. Engng. Int.

Author:

Jang Dae-Heung1,Anderson-Cook Christine M.2

Affiliation:

1. Department of Statistics; Pukyong National University; Busan Korea

2. Statistical Sciences Group; Los Alamos National Laboratory; Los Alamos NM USA

Publisher

Wiley

Subject

Management Science and Operations Research,Safety, Risk, Reliability and Quality

Reference17 articles.

1. Experiments with mixtures;Scheffe;Journal of the Royal Statistical Society, Series B,1958

2. Experiments with Mixtures

3. Ridge regression: Iterative estimation of the biasing parameter;Hoerl;Communications in Statistics-Theory and Methods,1976

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Robust ridge M-estimators with pretest and Stein-rule shrinkage for an intercept term;Japanese Journal of Statistics and Data Science;2020-10-19

2. A Bayesian approach with generalized ridge estimation for high-dimensional regression and testing;Communications in Statistics - Simulation and Computation;2016-07-28

3. Firework Plots for Evaluating the Impact of Outliers and Influential Observations in Ridge Regression;Quality and Reliability Engineering International;2016-07-26

4. A modified Liu-type estimator with an intercept term under mixture experiments;Communications in Statistics - Theory and Methods;2016-06-29
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