| 000 | 03655nam a22005775i 4500 | ||
|---|---|---|---|
| 001 | 978-3-030-83640-5 | ||
| 003 | DE-He213 | ||
| 005 | 20240508090327.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 211209s2022 sz | s |||| 0|eng d | ||
| 020 |
_a9783030836405 _9978-3-030-83640-5 |
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| 024 | 7 |
_a10.1007/978-3-030-83640-5 _2doi |
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| 050 | 4 | _aQA276-280 | |
| 072 | 7 |
_aPBT _2bicssc |
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_a519.5 _223 |
| 245 | 1 | 0 |
_aUncertainty in Engineering _h[electronic resource] : _bIntroduction to Methods and Applications / _cedited by Louis J. M. Aslett, Frank P. A. Coolen, Jasper De Bock. |
| 250 | _a1st ed. 2022. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2022. |
|
| 300 |
_aVII, 147 p. 55 illus., 41 illus. in color. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
||
| 490 | 1 |
_aSpringerBriefs in Statistics, _x2191-5458 |
|
| 505 | 0 | _aIntroduction to Bayesian statistical inference -- Sampling from complex probability distributions: a Monte Carlo primer for engineers -- Introduction to the theory of imprecise probability -- Imprecise discrete-time Markov chains -- Statistics with imprecise probabilities – a short survey -- Reliability -- Simulation methods for the analysis of complex systems -- Overview of stochastic model updating in aerospace application under uncertainty treatment -- Aerospace flight modeling and experimental testing. | |
| 506 | 0 | _aOpen Access | |
| 520 | _aThis open access book provides an introduction to uncertainty quantification in engineering. Starting with preliminaries on Bayesian statistics and Monte Carlo methods, followed by material on imprecise probabilities, it then focuses on reliability theory and simulation methods for complex systems. The final two chapters discuss various aspects of aerospace engineering, considering stochastic model updating from an imprecise Bayesian perspective, and uncertainty quantification for aerospace flight modelling. Written by experts in the subject, and based on lectures given at the Second Training School of the European Research and Training Network UTOPIAE (Uncertainty Treatment and Optimization in Aerospace Engineering), which took place at Durham University (United Kingdom) from 2 to 6 July 2018, the book offers an essential resource for students as well as scientists and practitioners. | ||
| 650 | 0 | _aStatistics . | |
| 650 | 0 | _aIndustrial engineering. | |
| 650 | 0 | _aProduction engineering. | |
| 650 | 1 | 4 | _aStatistical Theory and Methods. |
| 650 | 2 | 4 | _aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. |
| 650 | 2 | 4 | _aIndustrial and Production Engineering. |
| 650 | 2 | 4 | _aBayesian Inference. |
| 700 | 1 |
_aAslett, Louis J. M. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aCoolen, Frank P. A. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aDe Bock, Jasper. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030836399 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030836412 |
| 830 | 0 |
_aSpringerBriefs in Statistics, _x2191-5458 |
|
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-030-83640-5 |
| 912 | _aZDB-2-SMA | ||
| 912 | _aZDB-2-SXMS | ||
| 912 | _aZDB-2-SOB | ||
| 999 |
_c37750 _d37750 |
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