EconBiz - Find Economic Literature
    • Logout
    • Change account settings
  • A-Z
  • Beta
  • About EconBiz
  • News
  • Thesaurus (STW)
  • Academic Skills
  • Help
  •  My account 
    • Logout
    • Change account settings
  • Login
EconBiz - Find Economic Literature
Publications Events
Search options
Advanced Search history
My EconBiz
Favorites Loans Reservations Fines
    You are here:
  • Home
  • Quality Improvement by Using I...
  • More details
Cover Image

Quality Improvement by Using Inverse Gaussian Model in Robust Engineering

Year of publication:
2006
Authors: Moghadam, M. ; Eskandari, F.
Published in:
Quality & Quantity: International Journal of Methodology. - Springer. - Vol. 40.2006, 2, p. 157-174
Publisher: Springer
Subject: Optimization | Robust Engineering | Inverse-Gaussian model
Saved in:
  • More details
Extent:
text/html
Type of publication: Article
Source:
RePEc - Research Papers in Economics
Persistent link: https://www.econbiz.de/10009396677
    • EndNote
    • BibTeX
    • Zotero, Mendeley, RefWorks, ...
    • Text
Saved in favorites
    Similar items by subject
    • Application of Robust Parameter Design Methodologies

      Moghadam, M., (2005)

    • Towards a model for robust design and design process in one-of-a-kind production of large power transformers

      Varl, Mitja, (2016)

    • Decision analysis and risk management : application to climate change and risk detection

      (2011)

    • More ...
    Similar items by person
    • Extended risk classification in insurance industry

      Moghadam, M., (2013)

    • On the advantages of economically designed variable sample sizes and sampling intervals T<Superscript>2</Superscript> control chart: double warning lines scheme

      Faraz, Alireza, (2012)

    • Reduced water consumption of dormant-seeded sugar beet in a semiarid climate

      Mohammadian, R., (2008)

    • More ...
    A service of the
    zbw
    • Sitemap
    • Plain language
    • Accessibility
    • Contact us
    • Imprint
    • Privacy

    Loading...