Journal article 1139 views
A partial least squares solution to the problem of multicollinearity when predicting the high temperature properties of 1Cr–1Mo–0.25V steel using parametric models
Mark Evans 
Journal of Materials Science, Volume: 47, Issue: 6, Pages: 2712 - 2724
Swansea University Author:
Mark Evans
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DOI (Published version): 10.1007/s10853-011-6097-0
Abstract
A partial least squares solution to the problem of multicollinearity when predicting the high temperature properties of 1Cr–1Mo–0.25V steel using parametric models
| Published in: | Journal of Materials Science |
|---|---|
| Published: |
2012
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa9110 |
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2018-02-09T04:37:50Z |
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| spelling |
2013-08-22T16:55:42.6914603 v2 9110 2013-09-03 A partial least squares solution to the problem of multicollinearity when predicting the high temperature properties of 1Cr–1Mo–0.25V steel using parametric models 7720f04c308cf7a1c32312058780d20c 0000-0003-2056-2396 Mark Evans Mark Evans true false 2013-09-03 MTLS Journal Article Journal of Materials Science 47 6 2712 2724 31 12 2012 2012-12-31 10.1007/s10853-011-6097-0 COLLEGE NANME Materials Science and Engineering COLLEGE CODE MTLS Swansea University 2013-08-22T16:55:42.6914603 2013-09-03T06:06:42.0000000 Faculty of Science and Engineering School of Engineering and Applied Sciences - Materials Science and Engineering Mark Evans 0000-0003-2056-2396 1 |
| title |
A partial least squares solution to the problem of multicollinearity when predicting the high temperature properties of 1Cr–1Mo–0.25V steel using parametric models |
| spellingShingle |
A partial least squares solution to the problem of multicollinearity when predicting the high temperature properties of 1Cr–1Mo–0.25V steel using parametric models Mark Evans |
| title_short |
A partial least squares solution to the problem of multicollinearity when predicting the high temperature properties of 1Cr–1Mo–0.25V steel using parametric models |
| title_full |
A partial least squares solution to the problem of multicollinearity when predicting the high temperature properties of 1Cr–1Mo–0.25V steel using parametric models |
| title_fullStr |
A partial least squares solution to the problem of multicollinearity when predicting the high temperature properties of 1Cr–1Mo–0.25V steel using parametric models |
| title_full_unstemmed |
A partial least squares solution to the problem of multicollinearity when predicting the high temperature properties of 1Cr–1Mo–0.25V steel using parametric models |
| title_sort |
A partial least squares solution to the problem of multicollinearity when predicting the high temperature properties of 1Cr–1Mo–0.25V steel using parametric models |
| author_id_str_mv |
7720f04c308cf7a1c32312058780d20c |
| author_id_fullname_str_mv |
7720f04c308cf7a1c32312058780d20c_***_Mark Evans |
| author |
Mark Evans |
| author2 |
Mark Evans |
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Journal article |
| container_title |
Journal of Materials Science |
| container_volume |
47 |
| container_issue |
6 |
| container_start_page |
2712 |
| publishDate |
2012 |
| institution |
Swansea University |
| doi_str_mv |
10.1007/s10853-011-6097-0 |
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Faculty of Science and Engineering |
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facultyofscienceandengineering |
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Faculty of Science and Engineering |
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facultyofscienceandengineering |
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Faculty of Science and Engineering |
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School of Engineering and Applied Sciences - Materials Science and Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Materials Science and Engineering |
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| published_date |
2012-12-31T03:10:59Z |
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1763749982960091136 |
| score |
11.013148 |