| 书目名称 | Uncertainty in Engineering |
| 副标题 | Introduction to Meth |
| 编辑 | Louis J. M. Aslett,Frank P. A. Coolen,Jasper De Bo |
| 视频video | |
| 概述 | Discusses reliability theory and simulation methods for complex systems.Gives an introduction to uncertainty quantifcation in engineering.Illustrated with applications in aerospace flight modelling |
| 丛书名称 | SpringerBriefs in Statistics |
| 图书封面 |  |
| 描述 | .This 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.. |
| 出版日期 | Book‘‘‘‘‘‘‘‘ 2022 |
| 关键词 | Uncertainty quantification; Engineering applications; Imprecise Probabilities; Bayesian Statistics; Mark |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-83640-5 |
| isbn_softcover | 978-3-030-83639-9 |
| isbn_ebook | 978-3-030-83640-5Series ISSN 2191-544X Series E-ISSN 2191-5458 |
| issn_series | 2191-544X |
| copyright | The Editor(s) (if applicable) and The Author(s) 2022 |
发表于 2025-3-21 19:04:08
