Estimation of location extremes within general families of scale mixtures

In this paper, we study the estimation of the minimum and maximum location parameters, respectively, representing the minimum guaranteed lifetime of series and parallel systems of components, within a general class of scale mixtures. The conditional or underlying distribution has only the primary restriction of being a location-scale family with positive support. The mixing distribution is also quite general in that we only assume that it has positive support and finite second moment. For demonstrative purposes several special cases are highlighted such as the gamma, inverse-Gaussian, and discrete mixture. Various estimators, including bootstrap bias corrected estimators, are compared with respect to both mean-squared-error and Pitman's measure of closeness.     

Bayesian modelling of catch in a north-west Atlantic fishery

Summary. We model daily catches of fishing boats in the Grand Bank fishing grounds. We use data on catches per species for a number of vessels collected by the European Union in the context of the Northwest Atlantic Fisheries Organization. Many variables can be thought to influence the amount caught: a number of ship characteristics (such as the size of the ship, the fishing technique used and the mesh size of the nets) are obvious candidates, but one can also consider the season or the actual location of the catch. Our database leads to 28 possible regressors (arising from six continuous variables and four categorical variables, whose 22 levels are treated separately), resulting in a set of 177 million possible linear regression models for the log-catch. Zero observations are modelled separately through a probit model. Inference is based on Bayesian model averaging, using a Markov chain Monte Carlo approach. Particular attention is paid to the prediction of catches for single and aggregated ships.     

Optimization Model and Algorithm for Crew Management During Airline Irregular Operations

Airline irregular operations have long been a realm where human experience and judgement are the most important tools to utilize. Crew management during irregular operations is usually the bottleneck of the whole system-recovering process due to complicated crew schedules and restrictive crew legalities as well as the size and scope of the hub-and-spoke networks adopted by major carriers. A system-wide multi-commodity integer network flow model and a heuristic search algorithm for the above purpose are presented and discussed in this paper. The computational experiences show that the algorithm is efficient enough to solve problems of realistic size and also has the flexibility to accommodate practical business requirements.     

Early experiences of mentoring: Design and use of multimedia materials for teaching OR/MS

The MENTOR project, based at the University of Strathclyde, is producing multimedia computer based learning materials with the aim of improving both the effectiveness and the efficiency of teaching Operational Research/Management Science in higher education. The process of development has been carefully designed to encourage ownership of and commitment to the materials amongst lecturing staff in Universities, with the aim of ensuring widespread use. The paper outlines this process of development and design of materials. Experiences in introducing students to the use of these materials as an integrated part of a Management Science class are reported. Feedback from students has been very positive but also indicates the need for ongoing support and direction.     

Who creates the jobs?

Small business start-ups create most of the new jobs in our economy. It is an attractive argument to those who want governments to support small businesses. But is it true? Or are large firms the ones that generate most jobs? Michael Anyadike-Danes, Mark Hart and Karen Bonner examine a long-running and acrimonious dispute.     

When safety culture backfires: Unintended consequences of half-shared governance in a high tech workplace

This paper applies concepts from the sociology and anthropology of organizations to understand limits to the implementation of a more effective safety culture in the workplace. It highlights unintended consequences of combining bureaucratic control and shared governance and identifies sources of inertia within already existing safety cultures. The data come from focus group interviews with workers in a research and development facility of a multinational corporation in the Western U.S. It is found that safety protocols, rules, and rhetoric, combined with efforts to give workers more responsibility for safety in the workplace, create tendencies toward worker alienation, shame with regard to injuries, complacency, and fear of bureaucratic processes. Therefore it appears that some efforts to create safety culture in the workplace may unintentionally undermine the goal of manufacturing safety.     

Ethnic conflict without ethnic groups: a study in pure sociology1

Despite growing awareness of the limitations of group‐level analyses in ethnic studies, research on ethnic conflict has paid virtually no systematic attention to variation at the individual or micro level. Addressing that gap, the present paper draws upon data from interviews conducted with members of two broadly‐defined categories recently arrived in the Republic of Ireland, Muslims and Nigerians. Results indicate that while members of both immigrant categories experience a good deal of ethnic conflict or hostility, such conflict is rarely collective and invariably varies across individuals. The research data are consistent with Donald Black's theory of moralism. Black's theory, based on his theoretical system known as pure sociology, predicts that ethnic hostility increases with the social inferiority and cultural distance of the immigrant, and that higher status immigrants are more assertive in responding to hostility, though they experience less of it (the status paradox).