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Better understanding the nature of work and labour within the globalised political economy is a focus of the 'Work, Labour & Globalisation Research Group'. This involves researching the effects of new forms of labour, its transnational character and the gendered aspects of contemporary migration. A Scottish perspective is provided by the Scottish Centre for Employment Research (SCER). But the research specialisms of the Department of Work, Employment & Organisation go beyond this to also include front-line service work, leadership, the implications of new technologies at work, regulation of employment relations and workplace innovation.

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Building prior distributions to support Bayesian reliability growth modelling using expert judgement

Walls, Lesley and Quigley, John (2001) Building prior distributions to support Bayesian reliability growth modelling using expert judgement. Reliability Engineering and System Safety, 74 (2). pp. 117-128. ISSN 0951-8320

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Abstract

A sound methodology for the elicitation of subjective expert judgement is a pre-requisite for specifying prior distributions for the parameters of reliability growth models. In this paper, we describe an elicitation process that is developed to ensure valid data are collected by suggesting how possible bias might be identified and managed. As well as discussing the theory underpinning the elicitation process, the paper gives practical guidance concerning its implementation during reliability growth testing. The collection of subjective data using the proposed elicitation process is embedded within a Bayesian reliability growth modelling framework and reflections upon its practical use are described.

Item type: Article
ID code: 4372
Keywords: bayesian analysis, reliability growth models, elicitation, prior probability distributions, statistics, Management. Industrial Management, Risk Management, Statistics, Applied Mathematics, Industrial and Manufacturing Engineering, Safety, Risk, Reliability and Quality
Subjects: Social Sciences > Industries. Land use. Labor > Management. Industrial Management
Social Sciences > Industries. Land use. Labor > Risk Management
Social Sciences > Statistics
Department: Strathclyde Business School > Management Science
Depositing user: Strathprints Administrator
Date deposited: 23 Oct 2007
Last modified: 03 Jan 2019 11:30
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URI: https://strathprints.strath.ac.uk/id/eprint/4372
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