Bayesian methods in the search for MH370

Item

Title (Dublin Core)

Bayesian methods in the search for MH370

Creator (Dublin Core)

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

Date (Dublin Core)

2016

Publisher (Dublin Core)

Springer

Description (Dublin Core)

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 (Dublin Core)

Mathematical statistics
Probabilities
Statistics

Language (Dublin Core)

English

isbn (Bibliographic Ontology)

9789811003790

doi (Bibliographic Ontology)

Rights (Dublin Core)

uri (Bibliographic Ontology)

Item sets

Bayesian methods in the search for MH370