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 Title Bayesian Methods in the Search for MH370
 Author(s) Sam DaveyNeil GordonIan HollandMark RuttenJason Williams
 Publisher: Springer (July 25, 2016); eBook (Open Access Edition)
 License(s): CC BY 4.0
 Paperback 130 pages
 eBook PDF (124 pages) and ePub
 Language: English
 ISBN10: 9811003785
 ISBN13: 9789811003783
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Book Description
This book demonstrates how nonlinear/nonGaussian 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 particlefilter based numerical calculation of the aircraft flightpath probability distribution and validates the method using data from several of the involved aircraftâ€™s previous flights. Finally it is shown how the Reunion Island flaperon debris find affects the search probability distribution.
About the Authors Samuel Davey is a Visiting Research Fellow at the University of Adelaide and a Senior Member of the IEEE.
 Neil Gordon is an Honorary Professor at the University of Queensland. He is a Senior Member of the IEEE.
 Ian Holland is a Research Scientist in Protected Satellite Communications.
 Mark Rutten works for Australia's Defence Science and Technology Group.
 Jason Williams works for Australia's Defence Science and Technology Group.
 Bayesian Thinking
 Aeronautics, Aerospace, Aviation, Flight, etc.
 Probability and Stochastic
 Statistics, Mathematical Statistics
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