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Bayesian Methods in the Search for MH370

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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, env...

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Bibliographic Details
Main Authors: Davey, Sam (Author), Gordon, Neil (Author), Holland, Ian (Author), Rutten, Mark (Author), Williams, Jason (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Singapore : Springer Singapore : Imprint: Springer, 2016.
Series:SpringerBriefs in Electrical and Computer Engineering,
Subjects:
Engineering.
Mathematical statistics.
Probabilities.
Statistics.
Signal, Image and Speech Processing.
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Probability Theory and Stochastic Processes.
Probability and Statistics in Computer Science.
Online Access:http://dx.doi.org/10.1007/978-981-10-0379-0
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Table of Contents:
  • 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.

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