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Estimation of Rare Event Probabilities in Complex Aerospace and Other Systems: A Practical Approach

by Jerome Morio

A practical map of rare-event estimation methods

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Regular price $250.19 USD Sale price $250.19 USD

Hardcover New English

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AlbakiReads Editorial

A practical map of rare-event estimation methods

Focused on probabilities at 10⁻⁴ and below, this technical guide addresses the computational challenge of assessing highly unlikely failures in reliability engineering and system safety. It brings together available estimation techniques under a unified notation, pairing mathematical pseudocode with simulation results from both academic and realistic cases. Advanced sampling methods and extreme value theory are among the approaches covered, with attention to the practical question of selecting an algorithm for a particular problem. Although aerospace is central to its framing, the book’s method-oriented scope extends to other complex systems where rare-event analysis is needed.

Good fit for readers who enjoy

  • Aerospace and systems engineers working with reliability or safety analysis
  • Researchers comparing computational approaches to rare-event probability estimation
  • Technical practitioners seeking pseudocode and simulation-based examples

Themes

Rare-event probability estimationReliability engineeringSystem safetyAdvanced samplingExtreme value theory

Based on publisher information and book metadata.

Book overview

Rare event probability (10-4 and less) estimation has become a large area of research in the reliability engineering and system safety domains. A significant number of methods have been proposed to reduce the computation burden for the estimation of rare events from advanced sampling approaches to extreme value theory. However, it is often difficult in practice to determine which algorithm is the most adapted to a given problem.Estimation of Rare Event Probabilities in Complex Aerospace and Other Systems: A Practical Approach provides a broad up-to-date view of the current available techniques to estimate rare event probabilities described with a unified notation, a mathematical pseudocode to ease their potential implementation and finally a large spectrum of simulation results on academic and realistic use cases.

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