Bayesian approaches for on-line robust parameter design.(Report): An article from: IIE Transactions
Book Details
Author(s)O. Arda Vanli, Enrique Del Castillo
ISBN / ASINB0024VDRMQ
ISBN-13978B0024VDRM8
AvailabilityAvailable for download now
MarketplaceUnited States 🇺🇸
Description
This digital document is an article from IIE Transactions, published by Institute of Industrial Engineers, Inc. (IIE) on April 1, 2009. The length of the article is 10168 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available immediately after purchase. You can view it with any web browser.
From the author: Keywords: Robust design, Bayesian models, Taguchi methods, process optimization
Citation Details
Title: Bayesian approaches for on-line robust parameter design.(Report)
Author: O. Arda Vanli
Publication:IIE Transactions (Magazine/Journal)
Date: April 1, 2009
Publisher: Institute of Industrial Engineers, Inc. (IIE)
Volume: 41 Issue: 4 Page: 359(13)
Article Type: Report
Distributed by Gale, a part of Cengage Learning
From the author: Keywords: Robust design, Bayesian models, Taguchi methods, process optimization
Citation Details
Title: Bayesian approaches for on-line robust parameter design.(Report)
Author: O. Arda Vanli
Publication:IIE Transactions (Magazine/Journal)
Date: April 1, 2009
Publisher: Institute of Industrial Engineers, Inc. (IIE)
Volume: 41 Issue: 4 Page: 359(13)
Article Type: Report
Distributed by Gale, a part of Cengage Learning
