Visualizing uncertainty in reliability functions with application to aero engine overhaul

Journal of the Royal Statistical Society. Series C: Applied Statistics

Volumn 59, Issue 1, 2010, Pages 163-173

  Ebden, Mark ^a   Stranjak, Armin ^b   Roberts, Stephen ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b ROLLS ROYCE PLC   (United Kingdom)

Author keywords

Mixed Weibull distribution; Model uncertainty; Survival analysis; Weibull mixture model

Indexed keywords

EID: 73649135778     PISSN: 00359254     EISSN: 14679876     Source Type: Journal    
DOI: 10.1111/j.1467-9876.2009.00692.x     Document Type: Article

References (11)

1. Bishop, C. (1995) Neural Networks for Pattern Recognition. Oxford : Oxford University Press.
2. Bozdogan, H. (1993) Choosing the number of component cluster in the mixture-model using a new informational complexity criterion of the inverse-Fisher information matrix. In Information and Classification, Concepts, Methods, and Applications (eds O. Opitz, B. Lausen R. Klar pp. 40 54. Heidelberg : Springer.
3. DeGroot, M. Schervish, M. (2002) Probability and Statistics, 3rd edn. Reading : Addison-Wesley.
4. Dempster, A. P., Laird, N. M. Rubin, D. B. (1977) Maximum likelihood from incomplete data via the EM algorithm (with discussion). J. R. Statist. Soc. B, 39, 1 38.
5. Dias, J. (2004) Finite Mixture Models. Groningen: Research Schools Systems, Organisation and Management.
6. Jiang, S. Kececioglu, D. (1992) Maximum likelihood estimates, from censored data, for mixed-weibull distributions. IEEE Trans.Reliab., 41, 248 255.
7. McLachlan, G. Peel, D. (2000) Finite Mixture Models. New York : Wiley.
8. Peng, Y., Dear, K. Carriere, K. (2001) Testing for the presence of cured patients: a simulation study. Statist. Med., 20, 1783 1796.
9. Roberts, S., Husmeier, D., Rezek, I. Penny, W. (1998) Bayesian approaches to Gaussian mixture modelling. IEEE Trans. Pattn Anal. Mach. Intell., 20, 1133 1142.
10. Stranjak, A., Dutta, P., Ebden, M., Rogers, A Vytelingum, P 2008) A multi-agent simulation system for prediction and scheduling of aero engine overhaul. In Proc. 7th Int. Conf. Autonomous Agents and Multi-agent Systems, Estoril, May 12th-16th. Richland : International Foundation for Autonomous Agents and Multi-Agent Systems.
11. Weibull, W. (1951) A statistical distribution function of wide applicability. J. Appl. Mech., 18, 293 297.