Sensitivity analysis by experimental design and metamodelling: Case study on simulation in national animal disease control
- 1 May 2003
- journal article
- Published by Elsevier in European Journal of Operational Research
- Vol. 146 (3) , 433-443
- https://doi.org/10.1016/s0377-2217(02)00257-6
Abstract
No abstract availableThis publication has 16 references indexed in Scilit:
- A state-transition simulation model for the spread of Salmonella in the pork supply chainEuropean Journal of Operational Research, 2004
- Spatial and stochastic simulation to compare two emergency-vaccination strategies with a marker vaccine in the 1997/1998 Dutch Classical Swine Fever epidemicPreventive Veterinary Medicine, 2001
- A methodology for fitting and validating metamodels in simulation1Two anonymous referees' comments on the first draft lead to an improved organization of our paper.1European Journal of Operational Research, 2000
- On the assessment of economic risk: factorial design versus Monte Carlo methodsReliability Engineering & System Safety, 1997
- Searching for important factors in simulation models with many factors: Sequential bifurcationEuropean Journal of Operational Research, 1997
- Economic analysis of animal diseases and their controlPreventive Veterinary Medicine, 1995
- Sensitivity analysis and optimization of system dynamics models: Regression analysis and statistical design of experimentsSystem Dynamics Review, 1995
- A stochastic model for simulation of the economic consequences of bovine virus diarrhoea virus infection in a dairy herdPreventive Veterinary Medicine, 1995
- Tobit models: A surveyJournal of Econometrics, 1984
- Generalization of simulation results practicality of statistical methodsEuropean Journal of Operational Research, 1979