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Open Access research that uses mathematical models to solve ecological problems...

Solving a variety of ecological and biological problems is the focus of marine population modelling research conducted within the Department of Mathematics & Statistics. Here research deploys mathematical models to better understanding issues relating to fish stock management, ecosystem dynamics, ocean currents, and the effects of multispecies interactions within diverse marine ecosystems.

Research work in marine population modelling interfaces with a number of other key research specialisms, including mathematical biology, epidemiology and statistical informatics, where investigations are improving human understanding of the behaviour of infectious diseases, particularly in relation to animal infections; but also the modelling of complex biological processes such as antibiotic prodcution in actinobacteria.

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Jump to: 2019 | 2018 | 2015 | 2010 | 2009 | 2007

Number of items: 9.

2019

George-Williams, Hindolo and Feng, Geng and Coolen, Frank PA and Beer, Michael and Patelli, Edoardo (2019) Extending the survival signature paradigm to complex systems with non-repairable dependent failures. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 233 (4). pp. 505-519. ISSN 1748-006X

2018

Dinwoodie, Iain and McMillan, David and Lazakis, Iraklis and Dalgic, Yalcin and Revie, Matthew (2018) On modelling insights for emerging engineering problems : a case study on the impact of climate uncertainty on the operational performance of offshore wind farms. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 232 (5). pp. 524-532. ISSN 1748-006X

2015

Revie, Matthew (2015) Guest editorial. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 229 (5). p. 359. ISSN 1748-006X

Hawker, Graeme S and McMillan, David A (2015) The impact of maintenance contract arrangements on the yield of offshore wind power plants. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 229 (5). pp. 394-402. ISSN 1748-006X

Anderson, Gillian Hopkins and Walls, Lesley and Revie, Matthew and Fenelon, Euan and Storie, Calum (2015) Quantifying intra-organisational risks : an analysis of practice-theory tensions in probability elicitation to improve technical risk management in an energy utility. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability. ISSN 1748-006X

2010

Wilson, Kevin and Farrow, Malcolm (2010) Bayes linear kinematics in the analysis of failure rates and failure time distributions. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 224 (4). pp. 309-321.

Revie, Matthew and Bedford, T.J. and Walls, L.A. (2010) Evaluation of elicitation methods to quantify Bayes linear models. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 224 (4). pp. 322-332.

2009

Bedford, T. and Alkali, B. M. (2009) Competing risks and opportunistic informative maintenance. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 223 (4). pp. 363-372. ISSN 1748-006X

2007

Aksu, S. and Aksu, S.K. and Turan, O. (2007) Quantitative reliability and availability analysis for design evaluation of generic pod propulsion systems. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 221 (1). pp. 13-28. ISSN 1748-006X

This list was generated on Mon Jul 13 20:12:05 2020 BST.