Advanced search
Publication Cover
Journal of Quality Technology
A Quarterly Journal of Methods, Applications and Related Topics
Volume 49, 2017 - Issue 1
Submit an article Journal homepage
130
Views
7
CrossRef citations to date
0
Altmetric
Articles

DP-Optimality in Terms of Multiple Criteria and Its Application to the Split-Plot Design

Yongtao CaoIndiana University of Pennsylvania, Indiana, PA15705, USAView further author information
,
Shaun S. WulffUniversity of Wyoming, Laramie, WY82071, USAView further author information
&
Timothy J. RobinsonUniversity of Wyoming, Laramie, WY82071, USAView further author information
Pages 27-45 | Published online: 21 Nov 2017

Citations (7)

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 (3)

Shaun S. Wulff, Yongtao Cao & Timothy J. Robinson. (2020) DP Pareto optimal balanced orthogonal subplot designs. Quality Technology & Quantitative Management 17:4, pages 486-500.
Read now
Kalliopi Mylona, Steven G. Gilmour & Peter Goos. (2020) Optimal Blocked and Split-Plot Designs Ensuring Precise Pure-Error Estimation of the Variance Components. Technometrics 62:1, pages 57-70.
Read now
Willis A. Jensen. (2018) Open problems and issues in optimal design. Quality Engineering 30:4, pages 583-593.
Read now

Articles from other publishers (4)

Stephen J. Walsh, Thomsen B. Bolton & John J. Borkowski. (2024) Generating optimal designs with user‐specified pure replication structure. Quality and Reliability Engineering International 40:4, pages 2019-2047.
Crossref
Matteo Borrotti, Francesco Sambo & Kalliopi Mylona. (2023) Multi-objective optimisation of split-plot designs. Econometrics and Statistics 28, pages 163-172.
Crossref
Heloisa M. de Oliveira, César B. A. de Oliveira, Steven G. Gilmour & Luzia A. Trinca. (2022) Compound optimality criteria and graphical tools for designs for prediction. Quality and Reliability Engineering International 38:7, pages 3543-3558.
Crossref
Daniel Palhazi Cuervo, Peter Goos & Kenneth Sörensen. (2017) An algorithmic framework for generating optimal two-stratum experimental designs. Computational Statistics & Data Analysis 115, pages 224-249.
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.