Advanced search
Publication Cover
Journal of Quality Technology
A Quarterly Journal of Methods, Applications and Related Topics
Volume 35, 2003 - Issue 1
Submit an article Journal homepage
29
Views
19
CrossRef citations to date
0
Altmetric
Articles

Two New Mixture Models: Living with Collinearity but Removing its Influence

John A. CornellUniversity of Florida, Gainesville, FL32611View further author information
&
John W. Gorman 8545 Forest Avenue, Munster, IN46321-2148View further author information
Pages 78-88 | Published online: 16 Feb 2018

Citations (19)

Keep up to date with the latest research on this topic with citation updates for this article.

Subscribe to citation updates

Read on this site (8)

Greg F. Piepel, Dayton C. Hoffmann & Scott K. Cooley. (2021) Slack-variable models versus component-proportion models for mixture experiments: Literature review, evaluations, and recommendations. Quality Engineering 33:2, pages 221-239.
Read now
Paul Kristoffersen & Byran J. Smucker. (2020) Model-robust design of mixture experiments. Quality Engineering 32:4, pages 663-675.
Read now
Lulu Kang, Javier Cruz Salgado & William A. Brenneman. (2016) Comparing the Slack-Variable Mixture Model With Other Alternatives. Technometrics 58:2, pages 255-268.
Read now
Kadri Ulas Akay. (2014) A graphical evaluation of logistic ridge estimator in mixture experiments. Journal of Applied Statistics 41:6, pages 1217-1232.
Read now
Kadri Ulas Akay & Müjgan Tez. (2011) Alternative modeling techniques for the quantal response data in mixture experiments. Journal of Applied Statistics 38:11, pages 2597-2616.
Read now
JohnA. Cornell. (2011) A Retrospective View of Mixture Experiments. Quality Engineering 23:4, pages 315-331.
Read now
L.H.A. Dal Bello & A. F.C. Vieira. (2011) Optimization of a product performance using mixture experiments including process variables. Journal of Applied Statistics 38:8, pages 1701-1715.
Read now
AndréI. Khuri. (2005) Slack-variable models versus Scheffé's mixture models. Journal of Applied Statistics 32:9, pages 887-908.
Read now

Articles from other publishers (11)

Jacob G. Reynolds. (2023) Zavitsas’ model of aqueous NaF solution activities utilizing hydration numbers reported from Dielectric Relaxation spectroscopy. Journal of Molecular Liquids 375, pages 121387.
Crossref
Edmilson Rodrigues Pinto & Leandro Alves Pereira. (2022) Estimation and variable selection in joint mean and dispersion models applied to mixture experiments. Chemometrics and Intelligent Laboratory Systems 227, pages 104590.
Crossref
Javier Cruz-Salgado. (2016) Comparing the Intercept Mixture Model with the Slack-Variable Mixture Model. Ingeniería, Investigación y Tecnología 17:3, pages 383-393.
Crossref
Cruz-Salgado Javier. (2015) Selecting the Slack Variable in Mixture Experiment. Ingeniería, Investigación y Tecnología 16:4, pages 613-623.
Crossref
Márcio Nascimento de Souza Leão, Antonio Fernando de Castro Vieira & Luiz Henrique Abreu Dal Bello. (2015) A MODEL SELECTION PROCEDURE IN MIXTURE-PROCESS EXPERIMENTS FOR INDUSTRIAL PROCESS OPTIMIZATION. Pesquisa Operacional 35:2, pages 377-399.
Crossref
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.
Crossref
Luiz Henrique Abreu Dal Bello & Antonio Fernando de Castro Vieira. (2011) Tutorial for mixture-process experiments with an industrial application. Pesquisa Operacional 31:3, pages 543-564.
Crossref
John A. Cornell. 2011. A Primer on Experiments with Mixtures. A Primer on Experiments with Mixtures 247 284 .
John A. Cornell. 2011. A Primer on Experiments with Mixtures. A Primer on Experiments with Mixtures 299 315 .
Byung Rae Cho, Sangmun Shin, Yongsun Choi & Jami Kovach. (2009) Development of a multidisciplinary optimization process for designing optimal pharmaceutical formulations with constrained experimental regions. The International Journal of Advanced Manufacturing Technology 44:9-10, pages 841-853.
Crossref
George J. Besseris. (2009) Multi‐response unreplicated‐saturated Taguchi designs and super‐ranking in food formulation improvement. International Journal of Quality & Reliability Management 26:4, pages 341-368.
Crossref

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Order Reprints Request Corporate Permissions

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

Request Academic Permissions

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.