Bayesian Methods in the Search for MH370
Dublin Core
Title
Bayesian Methods in the Search for MH370
Subject
Statistics
Description
This book demonstrates how nonlinear/non-Gaussian Bayesian time series estimation methods were used to produce a probability distribution of potential MH370 flight paths. It provides details of how the probabilistic models of aircraft flight dynamics, satellite communication system measurements, environmental effects and radar data were constructed and calibrated. The probability distribution was used to define the search zone in the southern Indian Ocean. The book describes particle-filter based numerical calculation of the aircraft flight-path probability distribution and validates the method using data from several of the involved aircraft’s previous flights.
Creator
Sam Davey --- Neil Gordon --- Ian Holland --- Mark Rutten --- et al.
Source
https://link.springer.com/content/pdf/10.1007%2F978-981-10-0379-0.pdf
Publisher
Springer
Date
2017
Contributor
Baihaqi
Rights
Creative Commons
Format
PDF
Language
English
Type
Textbooks
Files
Citation
Sam Davey --- Neil Gordon --- Ian Holland --- Mark Rutten --- et al., “Bayesian Methods in the Search for MH370,” Open Educational Resource (OER) - USK Library, accessed April 24, 2025, http://202.4.186.74:8004/oer/items/show/3831.