![](/images/graphics-bg.png)
Tolerance Intervals in a Heteroscedastic Linear Regression Context with Applications to Aerospace Equipment Surveillance
Joint Authors
Jeske, Daniel R.
Myhre, Janet
Bi, Yingtao
Rennie, Michael
Source
International Journal of Quality, Statistics, and Reliability
Issue
Vol. 2009, Issue 2009 (31 Dec. 2009), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2010-02-28
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Economics & Business Administration
Economy
Abstract EN
A heteroscedastic linear regression model is developed from plausible assumptions that describe the time evolution of performance metrics for equipment.
The inherited motivation for the related weighted least squares analysis of the model is an essential and attractive selling point to engineers with interest in equipment surveillance methodologies.
A simple test for the significance of the heteroscedasticity suggested by a data set is derived and a simulation study is used to evaluate the power of the test and compare it with several other applicable tests that were designed under different contexts.
Tolerance intervals within the context of the model are derived, thus generalizing well-known tolerance intervals for ordinary least squares regression.
Use of the model and its associated analyses is illustrated with an aerospace application where hundreds of electronic components are continuously monitored by an automated system that flags components that are suspected of unusual degradation patterns.
American Psychological Association (APA)
Myhre, Janet& Jeske, Daniel R.& Rennie, Michael& Bi, Yingtao. 2010. Tolerance Intervals in a Heteroscedastic Linear Regression Context with Applications to Aerospace Equipment Surveillance. International Journal of Quality, Statistics, and Reliability،Vol. 2009, no. 2009, pp.1-8.
https://search.emarefa.net/detail/BIM-447691
Modern Language Association (MLA)
Myhre, Janet…[et al.]. Tolerance Intervals in a Heteroscedastic Linear Regression Context with Applications to Aerospace Equipment Surveillance. International Journal of Quality, Statistics, and Reliability No. 2009 (2009), pp.1-8.
https://search.emarefa.net/detail/BIM-447691
American Medical Association (AMA)
Myhre, Janet& Jeske, Daniel R.& Rennie, Michael& Bi, Yingtao. Tolerance Intervals in a Heteroscedastic Linear Regression Context with Applications to Aerospace Equipment Surveillance. International Journal of Quality, Statistics, and Reliability. 2010. Vol. 2009, no. 2009, pp.1-8.
https://search.emarefa.net/detail/BIM-447691
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-447691