Who is afraid of risk criteria?.

By:

Merz, Hans A

Contributor(s):

Ernst Basler and Partners

Material type: Text

TextLanguage: ENG Publication details: AUG 1986Description: 15p., no refsReport number: AD-P005-367; CommercialSubject: In recent years risk analyses using numerical probability estimates and consequence forecasts for accidental events have become a widely accepted technique for dealing with safety problems in the explosives industry. Considerable effort is put into acquiring data for the technical part of such analyses. When it comes to discuss the acceptability of the numerical risk estimates, differing opinions and even confusion can be observed. This paper presents proposals for numerical risk criteria and their background

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Item type	Current library	Collection	Call number	Status	Date due	Barcode
Books	Australian Emergency Management Library	BOOK	658.4034 MER (Browse shelf(Opens below))	Available		005273363

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Previous	658.4030722 WHY Why we need to teach crisis management and to use case studies to do it.	658.4033 KAR Decision making under uncertainty: the case of state-dependent preferences.	658.4034 DEK Setting decision thresholds for dam failure warnings: a practical theory-based approach.	658.4034 MER Who is afraid of risk criteria?.	658.4034 MOS Methods for the elicitation and use of expert opinion in risk assessment. Phase 1 - a critical evaluation and directions for future research.	658.4034 PRO Probabilistic risk assessment course documentation.	658.4034 PRO Probabilistic risk assessment course documentation.	Next

Seminar held 26-28 August 1986

In recent years risk analyses using numerical probability estimates and consequence forecasts for accidental events have become a widely accepted technique for dealing with safety problems in the explosives industry. Considerable effort is put into acquiring data for the technical part of such analyses. When it comes to discuss the acceptability of the numerical risk estimates, differing opinions and even confusion can be observed. This paper presents proposals for numerical risk criteria and their background

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