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Bayesian Methods in the Search for MH370. Neil Gordon

Book Details:

Author: Neil Gordon
Date: 25 Jul 2016
Publisher: Springer Verlag, Singapore
Original Languages: English
Format: Paperback::114 pages
ISBN10: 9811003785
Publication City/Country: Singapore, Singapore
Filename: bayesian-methods-in-the-search-for-mh370.pdf
Dimension: 155x 235x 7.11mm::2,117g
Download Link: Bayesian Methods in the Search for MH370

The underwater search was suspended on 17 January 2017. The present book, released online in November 2015 and published in print in July 2016, is a case study of how Bayesian statistics were used to estimate the crash location so that an efficient search could be organized. Bayesian Methods and the Search for MH370. Transport Safety Bureau MH370 search advisory team and in this talk he will describe how nonlinear/non-Gaussian Bayesian time-series estimation methods have been used to process the Inmarsat data and produce a probability distribution of MH370 flight paths that defines the search zone in the Bayesian Search Theory Model v1.3 - 18 Aug 2018 This page is a bookmarkable page of the Bayesian Search Theory Model I have developed to provide the probability that MH370 lies at any given location. It is not to be confused with Bayesian Methods in the Search