Semi-Markov Reliability Models with Recurrence Times and Credit Rating Applications. (29th October 2009)
- Record Type:
- Journal Article
- Title:
- Semi-Markov Reliability Models with Recurrence Times and Credit Rating Applications. (29th October 2009)
- Main Title:
- Semi-Markov Reliability Models with Recurrence Times and Credit Rating Applications
- Authors:
- D'Amico, Guglielmo
Janssen, Jacques
Manca, Raimondo - Other Names:
- Bebbington Mark Academic Editor.
- Abstract:
- Abstract : We show how it is possible to construct efficient duration dependent semi-Markov reliability models by considering recurrence time processes. We define generalized reliability indexes and we show how it is possible to compute them. Finally, we describe a possible application in the study of credit rating dynamics by considering the credit rating migration as a reliability problem.
- Is Part Of:
- Journal of applied mathematics & decision sciences. Volume 2009(2009)
- Journal:
- Journal of applied mathematics & decision sciences
- Issue:
- Volume 2009(2009)
- Issue Display:
- Volume 2009, Issue 2009 (2009)
- Year:
- 2009
- Volume:
- 2009
- Issue:
- 2009
- Issue Sort Value:
- 2009-2009-2009-0000
- Page Start:
- Page End:
- Publication Date:
- 2009-10-29
- Subjects:
- Operations research -- Periodicals
Mathematical models -- Periodicals
Statistics -- Periodicals
Quality control -- Periodicals
Mathematical models
Operations research
Quality control
Statistics
Periodicals
519.05 - Journal URLs:
- https://www.hindawi.com/journals/ads/contents/journal.of.applied.mathematics.and.decision.sciences/ ↗
http://www.tandfonline.com/toc/hzzf20/current ↗
http://www.tandfonline.com/ ↗
http://www.hindawi.com/journals/jamds/ ↗ - DOI:
- 10.1155/2009/625712 ↗
- Languages:
- English
- ISSNs:
- 1173-9126
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4942.684000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 10613.xml