RAPSIM, a statistical toolbox for analysing and visualising large simulation data sets
| Main Authors: | , , |
|---|---|
| Other Authors: | |
| Format: | Conference Paper |
| Published: |
The Regional Institute Ltd
2006
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| Online Access: | http://hdl.handle.net/20.500.11937/45809 |
| _version_ | 1848757388304187392 |
|---|---|
| author | D'Antuono, M. Fisher, James Abrecht, D. |
| author2 | Turner N.C. |
| author_facet | Turner N.C. D'Antuono, M. Fisher, James Abrecht, D. |
| author_sort | D'Antuono, M. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| first_indexed | 2025-11-14T09:27:18Z |
| format | Conference Paper |
| id | curtin-20.500.11937-45809 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:27:18Z |
| publishDate | 2006 |
| publisher | The Regional Institute Ltd |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-458092023-02-27T07:34:29Z RAPSIM, a statistical toolbox for analysing and visualising large simulation data sets D'Antuono, M. Fisher, James Abrecht, D. Turner N.C. Acuna T. Johnson, R.C. R.C. 2006 Conference Paper http://hdl.handle.net/20.500.11937/45809 The Regional Institute Ltd restricted |
| spellingShingle | D'Antuono, M. Fisher, James Abrecht, D. RAPSIM, a statistical toolbox for analysing and visualising large simulation data sets |
| title | RAPSIM, a statistical toolbox for analysing and visualising large simulation data sets |
| title_full | RAPSIM, a statistical toolbox for analysing and visualising large simulation data sets |
| title_fullStr | RAPSIM, a statistical toolbox for analysing and visualising large simulation data sets |
| title_full_unstemmed | RAPSIM, a statistical toolbox for analysing and visualising large simulation data sets |
| title_short | RAPSIM, a statistical toolbox for analysing and visualising large simulation data sets |
| title_sort | rapsim, a statistical toolbox for analysing and visualising large simulation data sets |
| url | http://hdl.handle.net/20.500.11937/45809 |