Rudnyk, Julia (2018): Results of Trajectory Prediction Sensitivity Analysis Using Monte Carlo Simulations Based on Inputs' Distributions. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/uuid:426fa9ba-576b-4dae-8d55-5c734c096d0a

Dataset

• Computation Theory and Mathematics
• Numerical and Computational Mathematics

Monte Carlo simulations, Sensitivity analysis, Surveillance data, Trajectory prediction

2016

CC BY 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Julia Rudnyk

This data collection contains: trajectory predictor inputs' distributions obtained from observed (surveillance) data; and the results of a sensitivity analysis on the prediction uncertainty and the correlation between inputs and prediction errors.

• 2018-10-31 first online, published, posted

4TU.Centre for Research Data

media types: application/pdf, application/vnd.ms-excel, application/zip, image/png, text/plain

MUAC, Eurocontrol;
TU Delft, Faculty of Aerospace Engineering