| contributor author | T. R. Kurfess | |
| contributor author | D. L Banks | |
| contributor author | L. J. Wolfson | |
| date accessioned | 2017-05-08T23:50:44Z | |
| date available | 2017-05-08T23:50:44Z | |
| date copyright | November, 1996 | |
| date issued | 1996 | |
| identifier issn | 1087-1357 | |
| identifier other | JMSEFK-27286#652_1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/117277 | |
| description abstract | This paper presents an approach to metrology that allows one to set a confidence level on geometric parameters using multivariate statistical techniques. Furthermore, the analysis incorporates deviations from nominal geometry that are expected from various manufacturing and measurement processes to reduce the size of the multidimensional confidence interval. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | A Multivariate Statistical Approach to Metrology | |
| type | Journal Paper | |
| journal volume | 118 | |
| journal issue | 4 | |
| journal title | Journal of Manufacturing Science and Engineering | |
| identifier doi | 10.1115/1.2831081 | |
| journal fristpage | 652 | |
| journal lastpage | 657 | |
| identifier eissn | 1528-8935 | |
| keywords | Metrology | |
| keywords | Geometry AND Manufacturing | |
| tree | Journal of Manufacturing Science and Engineering:;1996:;volume( 118 ):;issue: 004 | |
| contenttype | Fulltext | |
