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- W3140439853 abstract "Computer simulation models will ideally be developed within an environment where all the necessary input data is readily available and all the relevant stakeholders are supportive and co-operative. In practice, many models are developed for the purpose of evaluating organisational or process change. As a result, system performance data may often be limited or potentially biased by key parties associated with the results of the simulation model. Ensuring valid input data is therefore a key aspect of model validation and an important component in a successful simulation study. This paper addresses some examples of data collection problems that have been encountered by the author and presents a number of lessons identified" @default.
- W3140439853 created "2021-04-13" @default.
- W3140439853 creator A5073529662 @default.
- W3140439853 date "2006-12-01" @default.
- W3140439853 modified "2023-09-25" @default.
- W3140439853 title "Lessons Identified from Data Collection for Model Validation" @default.
- W3140439853 cites W1964103826 @default.
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- W3140439853 doi "https://doi.org/10.1109/wsc.2006.323225" @default.
- W3140439853 hasPublicationYear "2006" @default.
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