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Can I read Bayesian Methods in the Search for MH370 (SpringerBriefs in Electrical and Computer Engineering) on EtoBox?
Bayesian Methods in the Search for MH370 (SpringerBriefs in Electrical and Computer Engineering) by Sam Davey, Neil Gordon, Ian Holland, Mark Rutten, Jason Williams (auth.) is a nonfiction available to read on EtoBox.
What is Bayesian Methods in the Search for MH370 (SpringerBriefs in Electrical and Computer Engineering) about?
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. **
Who reads Bayesian Methods in the Search for MH370 (SpringerBriefs in Electrical and Computer Engineering)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Sam Davey, Neil Gordon, Ian Holland, Mark Rutten, Jason Williams (auth.)
- Publisher
- Springer Singapore : Imprint : Springer
- Published
- 2016
- Language
- EN
- ISBN
- 9789811003783
- Category
- nonfiction
- Subjects
- Mathematics, Engineering, Computer Science
- Rating
- 4.6 / 5 (23 ratings)
- Updated
- 2026-03-14
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