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Bayesian methods in the search for MH370

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Bayesian methods in the search for MH370/ by Sam Davey ... [et al.].
other author:	Davey, Sam.
Published:	Singapore :Springer Singapore : : 2016.,
Description:	xvi, 114 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Aircraft accidents - Investigation -
Online resource:	http://dx.doi.org/10.1007/978-981-10-0379-0
ISBN:	9789811003790

Bayesian methods in the search for MH370
Bayesian methods in the search for MH370[electronic resource] /by Sam Davey ... [et al.]. - Singapore :Springer Singapore :2016. - xvi, 114 p. :ill. (some col.), digital ;24 cm. - SpringerBriefs in electrical and computer engineering,2191-8112. - SpringerBriefs in electrical and computer engineering..

Introduction -- Factual Description of Accident and Available Information -- Bayesian Approach -- Inmarsat Satellite Communication System -- Aircraft Cruise Dynamics -- Aircraft Maneuver Dynamics -- Particle Filter Implementations -- Validation Experiments -- Application to MH370 Accident -- Incorporating Search Data -- Conclusions.

Open access.

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.

ISBN: 9789811003790

Standard No.: 10.1007/978-981-10-0379-0doiSubjects--Topical Terms:

1111631
Aircraft accidents
--Investigation

LC Class. No.: TL553.5

Dewey Class. No.: 363.12465

Bayesian methods in the search for MH370
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245 0 0 $a Bayesian methods in the search for MH370 $h [electronic resource] / $c by Sam Davey ... [et al.].
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300 $a xvi, 114 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a SpringerBriefs in electrical and computer engineering, $x 2191-8112
505 0 $a Introduction -- Factual Description of Accident and Available Information -- Bayesian Approach -- Inmarsat Satellite Communication System -- Aircraft Cruise Dynamics -- Aircraft Maneuver Dynamics -- Particle Filter Implementations -- Validation Experiments -- Application to MH370 Accident -- Incorporating Search Data -- Conclusions.
506 $a Open access.
520 $a 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.
650 0 $a Aircraft accidents $x Investigation $x Decision making. $3 1111631
650 0 $a Bayesian statistical decision theory. $3 527671
650 0 $a Malaysia Airlines Flight 370 Incident, 2014. $3 1111632
650 1 4 $a Engineering. $3 561152
650 2 4 $a Signal, Image and Speech Processing. $3 670837
650 2 4 $a Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. $3 782247
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