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Bayesian methods in the search for M...
Davey, Sam.

 

  • Bayesian methods in the search for MH370[electronic resource] /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    杜威分類號: 363.12465
    書名/作者: Bayesian methods in the search for MH370/ by Sam Davey ... [et al.].
    其他作者: Davey, Sam.
    出版者: Singapore : : Springer Singapore :, 2016.
    面頁冊數: xvi, 114 p. : : ill. (some col.), digital ;; 24 cm.
    Contained By: Springer eBooks
    標題: Aircraft accidents - Investigation
    標題: Bayesian statistical decision theory.
    標題: Malaysia Airlines Flight 370 Incident, 2014.
    標題: Engineering.
    標題: Signal, Image and Speech Processing.
    標題: Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
    標題: Probability Theory and Stochastic Processes.
    標題: Probability and Statistics in Computer Science.
    ISBN: 9789811003790
    ISBN: 9789811003783
    內容註: 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.
    摘要、提要註: 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.
    電子資源: http://dx.doi.org/10.1007/978-981-10-0379-0
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