Advanced search
Publication Cover
Technometrics Volume 64, 2022 - Issue 1
Submit an article Journal homepage
607
Views
6
CrossRef citations to date
0
Altmetric
Articles

Prediction of Future Failures for Heterogeneous Reliability Field Data

Colin Lewis-Becka Department of Statistics & Actuarial Science, University of Iowa, Iowa City, IACorrespondence[email protected]
,
Qinglong Tianb Department of Statistics, Iowa State University, Ames, IAORCID Iconhttps://orcid.org/0000-0002-9455-5466
ORCID Icon &
William Q. Meekerb Department of Statistics, Iowa State University, Ames, IAORCID Iconhttps://orcid.org/0000-0002-5366-0294
ORCID Icon
Pages 125-138 | Received 28 Jun 2020, Accepted 19 Apr 2021, Published online: 07 Jun 2021

Citations (6)

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 (1)

Aakash Agrawal, Debanjan Mitra & Ayon Ganguly. A model for failure-time data with two dependent failure modes and prediction of future failures. Quality Engineering 0:0, pages 1-14.
Read now

Articles from other publishers (5)

Yan Ran, Jingjie Chen, Nafis Jawyad Sagor & Genbao Zhang. (2024) Failure prediction of mechanical system based on meta‐action. Quality and Reliability Engineering International.
Crossref
Qinglong Tian, Colin Lewis‐BeckJarad B. Niemi & William Q. Meeker. (2023) Rejoinder to “Specifying Prior Distribution in Reliability Applications”. Applied Stochastic Models in Business and Industry 40:1, pages 130-143.
Crossref
Yudong Wang & Zhi-Sheng Ye. (2023) Phase-type distributions for product return data with two-layer censoring. Journal of the Royal Statistical Society Series C: Applied Statistics 72:5, pages 1475-1492.
Crossref
Andre Kleyner & David Elmore. (2023) Reliability Demonstration Based on the Results of a Super Extended Life Test. Reliability Demonstration Based on the Results of a Super Extended Life Test.
José Arturo Montoya Laos & José del Carmen Jiménez‐Hernández. (2022) Some tools to predict failure probability on products recently launched on the market: A mobile phone case study. Quality and Reliability Engineering International 38:5, pages 2899-2905.
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.