Please use this identifier to cite or link to this item:
https://dipositint.ub.edu/dspace/handle/2445/12194| Title: | A measure of stability as a criterion for the verification and analysis of simulation models |
| Author: | Monleón Getino, Toni Ruiz de Villa, Carmen Ocaña i Rebull, Jordi |
| Keywords: | Simulació per ordinador Models matemàtics Mètodes estadístics Assaigs clínics Computer simulation Mathematical models Statistical methods Clinical trials |
| Issue Date: | 2010 |
| Abstract: | The aim of this study is to define a new statistic, PVL, based on the relative distance between the likelihood associated with the simulation replications and the likelihood of the conceptual model. Our results coming from several simulation experiments of a clinical trial show that the PVL statistic range can be a good measure of stability to establish when a computational model verifies the underlying conceptual model. PVL improves also the analysis of simulation replications because only one statistic is associated with all the simulation replications. As well it presents several verification scenarios, obtained by altering the simulation model, that show the usefulness of PVL. Further simulation experiments suggest that a 0 to 20 % range may define adequate limits for the verification problem, if considered from the viewpoint of an equivalence test. |
| URI: | https://hdl.handle.net/2445/12194 |
| Appears in Collections: | Documents de treball / Informes (Genètica, Microbiologia i Estadística) |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| A measure of stability Simulation_2.pdf | 519.13 kB | Adobe PDF | View/Open |
This item is licensed under a
Creative Commons License
