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.

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