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Bayesian Methods in the Search for Mh370
Bayesian Methods in the Search for Mh370 - 2016
by Gordon, Neil , Davey, Sam , Holland, Ian
Paperback - English

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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ADDITIONAL INFO

Edition Number
2016
ISBN
9811003785
EAN
9789811003783
Publisher
Publication Date
25 Jul 2016
Pages
114
Weight (kg)
0.19
Dimensions (cm)
23.4 x 15.6 x 0.7
About Author
Neil Gordon was born in South Africa in 1958, and has also lived in New York, Scotland, Paris, and Israel. He is a graduate of the University of Michigan, where he was awarded two Hopwood Prizes for fiction, and earned his Ph.D. in French literature at Yale. He has also studied at the University of Jerusalem and the Sorbonne. Until recently on the staff at "The New York Review of Books, " he is currently managing editor of "The Reader's Catalog" and the literary editor of "The Boston Review." He lives in New York.<P>
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