Bayesian methods in the search for MH370

Item

Title

Bayesian methods in the search for MH370

Creator

Davey, Sam
Gordon, Neil
Holland, Ian
Rutten, Mark
Williams, Jason

Date

2016

Publisher

Springer

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. Finally it is shown how the Reunion Island flaperon debris find affects the search probability distribution.

Subject

Mathematical statistics
Probabilities
Statistics

Language

English

isbn

9789811003790

doi

Rights

uri

Item sets

Bayesian methods in the search for MH370