Rios Insua, D. and Muruzabal, J. and Palomo, J. and Ruggeri, F. and Holgado, J. and Moreno, R. (2004) Simulation in industrial statistics. Technical Report. CNR. Istituto di Matematica Applicata e Tecnologie Informatiche (IMATI). Sezione di Milano, Milano, IT.
![[img]](http://eprints.bice.rm.cnr.it/style/images/fileicons/application_pdf.png) |
PDF
04-19.html Restricted to Repository staff only Download (1kB) |
Abstract
We provide a brief introduction to simulation methods and tools within Industrial Statistics. We illustrate both Monte Carlo and discrete event simulation, within a common framework, through several motiovating examples showing the relevance of simulation. We then describe random number and variate generation, and how to obtain and analyse output data from a simulation model. A case study in modelling a workflow line within the digitalisation industry guides our discussion. Relevant pointers to references and url's are provided.
| Item Type: | Monograph (Technical Report) |
|---|---|
| Uncontrolled Keywords: | Simulation; Monte Carlo methods; Discrete event simulation; Industrial statistics |
| Subjects: | 500 Scienze naturali e Matematica > 510 Matematica |
| Depositing User: | biblioteca 3 |
| Date Deposited: | 15 Mar 2006 |
| Last Modified: | 20 May 2010 12:00 |
| URI: | http://eprints.bice.rm.cnr.it/id/eprint/99 |
Actions (login required)
 |
View Item |
