Bayesian methods in the search for MH370 | Kementerian Pendidikan Dasar dan Menengah

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Bayesian methods in the search for MH370

Davey, Samuel - Personal Name; Gordon, Neil - Personal Name; Holland, Ian - Personal Name; Rutten, Mark - Personal Name; Williams, Jason - Personal Name;

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.

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Series Title: -
Call Number: 363.12465 BAY b
Publisher: Singapore : Springer Open., 2016
Collation: xvi, 114p. : ill.
Language: English
ISBN/ISSN: 9789811003790
Classification: 363.12465
Content Type: -
Media Type: -
Carrier Type: -
Edition: -
Subject(s): Statistics
Engineering
Mathematical statistics
Bayesian statistical decision theory
Probabilities
Bayesian field theory
Specific Detail Info: -
Statement of Responsibility: by Samuel Davey et al.

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9789811003790
https://link.springer.com/book/10.1007/978-981-10-0379-0
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