Uncertainty modeling for engineering applications. ([2019])

• Record Type: Book
• Further Information: Note: Flavio Canavero, editor.
• Editors: Canavero, Flavio
• Contents: Quadrature Strategies for Constructing Polynomial Approximations.- Weighted reduced order methods for parametrized partial differential equations with random inputs.- A new approach for state estimation.- Data-efficient Sensitivity Analysis with Surrogate Modeling.- Application of Polynomial Chaos Expansions for Uncertainty Estimation in Angle-of-Arrival based Localization.- Surrogate Modeling for Fast Experimental Assessment of Specific Absorption Rate.- Stochastic Dosimetry for Radio-Frequency exposure assessment in realistic scenarios.- On the Various Applications of Stochastic Collocation in Computational Electromagnetics.- Reducing the statistical complexity of EMC testing: improvements for radiated experiments using stochastic collocation and bootstrap methods.- Hybrid Possibilistic-Probabilistic Approach to Uncertainty Quantification in Electromagnetic Compatibility Models.- Measurement uncertainty cannot always be calculated.
• Publisher Details: Cham, Switzerland : Springer
• Publication Date: 2019
• Extent: 1 online resource
• Subjects: 519.2; Engineering -- Statistical methods; Reliability (Engineering) -- Statistical methods; Risk assessment -- Statistical methods; Uncertainty (Information theory); Electronic books
• Languages: English
• ISBNs: 9783030048709; 3030048705
• Related ISBNs: 3030048691; 9783030048693
• Notes: Note: Description based on online resource; title from digital title page (viewed on February 06, 2019).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.