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A fit of a mixture of bivariate normals to lumber stiffness : strength data / / Steve P. Verrill [and three others]
| A fit of a mixture of bivariate normals to lumber stiffness : strength data / / Steve P. Verrill [and three others] |
| Autore | Verrill S. P. |
| Pubbl/distr/stampa | Madison, WI : , : United States Department of Agriculture, Forest Service, Forest Products Laboratory, , 2018 |
| Descrizione fisica | 1 online resource (23 pages, 21 unnumbered pages) : illustrations (some color) |
| Collana | Research paper FPL-RP |
| Soggetto topico |
Distribution (Probability theory)
Lumber - Mechanical properties Lumber - Elastic properties Lumber - Fracture Statistics - Simulation methods Weibull distribution Gaussian distribution |
| Soggetto genere / forma | Statistics. |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Fit of a mixture of bivariate normals to lumber stiffness |
| Record Nr. | UNINA-9910711953303321 |
Verrill S. P.
|
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| Madison, WI : , : United States Department of Agriculture, Forest Service, Forest Products Laboratory, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Simulations of solid lumber strength property monitoring tests / / Steve Verrill, David E. Kretschmann, James W. Evans
| Simulations of solid lumber strength property monitoring tests / / Steve Verrill, David E. Kretschmann, James W. Evans |
| Autore | Verrill S. P. |
| Pubbl/distr/stampa | Madison, WI : , : United States Department of Agriculture, Forest Service, Forest Products Laboratory, , 2017 |
| Descrizione fisica | 1 online resource (30 pages) : illustrations |
| Collana | Research paper FPL-RP |
| Soggetto topico |
Lumber - Standards - Simulation methods
Lumber - Grading - Simulation methods Statistics - Simulation methods |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910712003003321 |
|
Verrill S. P.
|
||
| Madison, WI : , : United States Department of Agriculture, Forest Service, Forest Products Laboratory, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
