Simplified Approach to Identifying Influential Uncertainties in Monte Carlo Analysis
Author:
Affiliation:
1. Japan Aerospace Exploration Agency, Tokyo 181-0015, Japan
Publisher
American Institute of Aeronautics and Astronautics (AIAA)
Subject
Space and Planetary Science,Aerospace Engineering
Link
https://arc.aiaa.org/doi/pdf/10.2514/1.10265
Reference8 articles.
1. Identification of Influential Uncertainties in Monte Carlo Analysis
2. Application of Monte-Carlo techniques to the 757/767 autoland dispersion analysis by simulation
3. Application of stochastic robustness to aircraft control systems
4. Ascent, transition, entry, and abort guidance algorithm design for the X-33 vehicle
5. Design and Analysis of the Drop Test Vehicle for the Mars Exploration Rover Parachute Structural Tests
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