Dynamic risk control for project development

Mauro Gasparini (), Gabriella Margaria and Henry P. Wynn
Additional contact information
Mauro Gasparini: Politecnico di Torino,
Gabriella Margaria: Universitá dell’Insubria Varese-Como
Henry P. Wynn: London School of Economics

Statistical Methods & Applications, 2004, vol. 13, issue 1, No 6, 73-88

Abstract: Abstract. A statistical methodology for dynamic risk control is discussed. The research is aimed at constructing tools for the analysis of expert opinions within a company about the risks involved in the production of a new commercial product or service. Focus is on risk events and on the analysis of the expert assessments of probabilities, losses and correlations of such events. A rescoring loop of risk assessments and preventive actions taken by the company on the basis of these assessments is illustrated through an example on software development. Relevant literature on risk and subjective elicitations is reviewed.

Keywords: Interval censored observations; expert opinion; ordinal data; proportional odds (search for similar items in EconPapers)
Date: 2004
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s10260-003-0075-x Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:stmapp:v:13:y:2004:i:1:d:10.1007_s10260-003-0075-x

Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10260/PS2

DOI: 10.1007/s10260-003-0075-x

Access Statistics for this article

Statistical Methods & Applications is currently edited by Tommaso Proietti

More articles in Statistical Methods & Applications from Springer, Società Italiana di Statistica
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().