Bayesian Methods in the Search for MH370
tarafından
 
Davey, Sam. author.

Başlık
Bayesian Methods in the Search for MH370

Yazar
Davey, Sam. author.

ISBN
9789811003790

Yazar
Davey, Sam. author.

Fiziksel Niteleme
XVI, 114 p. 51 illus., 2 illus. in color. online resource.

Seri
SpringerBriefs in Electrical and Computer Engineering,

İçindekiler
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.

Özet
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.

Konu Başlığı
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.

Yazar Ek Girişi
Gordon, Neil.
 
Holland, Ian.
 
Rutten, Mark.
 
Williams, Jason.

Ek Kurum Yazar
SpringerLink (Online service)

Elektronik Erişim
http://dx.doi.org/10.1007/978-981-10-0379-0


Materyal TürüBarkodYer NumarasıDurumu/İade Tarihi
Electronic Book19017-1001TK5102.9Springer E-Book Collection