New Metrics for Validation of Data-Driven Random Process Models in Uncertainty QuantificationSource: Journal of Verification, Validation and Uncertainty Quantification:;2016:;volume( 001 ):;issue: 002::page 21002DOI: 10.1115/1.4031813Publisher: The American Society of Mechanical Engineers (ASME)
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| date accessioned | 2017-11-25T07:19:59Z | |
| date available | 2017-11-25T07:19:59Z | |
| date issued | 2016 | |
| identifier issn | 2377-2158 | |
| identifier other | vvuq_001_02_021002.pdf | |
| identifier uri | http://138.201.223.254:8080/yetl1/handle/yetl/4236147 | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | New Metrics for Validation of Data-Driven Random Process Models in Uncertainty Quantification | |
| type | Journal Paper | |
| journal volume | 1 | |
| journal issue | 2 | |
| journal title | Journal of Verification, Validation and Uncertainty Quantification | |
| identifier doi | 10.1115/1.4031813 | |
| journal fristpage | 21002 | |
| journal lastpage | 21002 | |
| tree | Journal of Verification, Validation and Uncertainty Quantification:;2016:;volume( 001 ):;issue: 002 | |
| contenttype | Fulltext |