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b9011203 |
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20170126151327.0 |
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|a (OCoLC)ocn970348402
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|a NAS 1.60:2016-219169
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| 086 |
0 |
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|a NAS 1.60:2016-219169
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| 100 |
1 |
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|a Warner, James E.,
|e author.
|
| 245 |
1 |
0 |
|a Probabilistic damage characterization using a computationally-efficient Bayesian approach /
|c James E. Warner and Jacob D. Hochhalter.
|
| 264 |
|
1 |
|a Hampton, Virginia :
|b National Aeronautics and Space Administration, Langley Research Center,
|c March 2016.
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| 300 |
|
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|a 1 online resource (23 pages) :
|b color illustrations.
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| 336 |
|
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|a text
|b txt
|2 rdacontent.
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| 337 |
|
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|a computer
|b c
|2 rdamedia.
|
| 338 |
|
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|a online resource
|b cr
|2 rdacarrier.
|
| 490 |
1 |
|
|a NASA/TP ;
|v 2016-219169.
|
| 500 |
|
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|a "March 2016."
|
| 500 |
|
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|a "Performing organization: NASA Langley Research Center"--Report documentation page.
|
| 504 |
|
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|a Includes bibliographical references (pages 22-23)
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| 513 |
|
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|a Technical publication.
|
| 588 |
|
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|a Description based on online resource; title from PDF title page (NASA, viewed Jan. 26, 2017)
|
| 536 |
|
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|a Sponsored by the National Aeronautics and Space Administration
|h 694478.02.93.02.14.58.23.
|
| 536 |
|
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|d L-20667.
|
| 650 |
|
7 |
|a Aerodynamic noise.
|2 nasat.
|
| 650 |
|
7 |
|a Bayes theorem.
|2 nasat.
|
| 650 |
|
7 |
|a Damage assessment.
|2 nasat.
|
| 650 |
|
7 |
|a Probability theory.
|2 nasat.
|
| 650 |
|
7 |
|a Structural health monitoring.
|2 nasat.
|
| 700 |
1 |
|
|a Hochhalter, Jacob D.,
|e author.
|
| 710 |
2 |
|
|a Langley Research Center,
|e issuing body.
|0 http://id.loc.gov/authorities/names/n79134855
|1 http://isni.org/isni/0000000406376754.
|
| 830 |
|
0 |
|a NASA technical publication ;
|v 2016-219169.
|0 http://id.loc.gov/authorities/names/no2016058012.
|
| 856 |
4 |
0 |
|u http://purl.fdlp.gov/GPO/gpo76583
|z Online Access
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|a .b90112039
|b 03-08-23
|c 02-08-17
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|a web
|b 02-08-17
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|g vau
|h 0
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|a .b90112039
|b 03-01-17
|c 02-08-17
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| 944 |
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|a MARS - RDA ENRICHED
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|a University of Colorado Boulder
|b Online
|c Online
|d Online
|e NAS 1.60:2016-219169
|h Superintendent of Documents classification
|i web
|n 1
|
