Welcome to Loot.co.za! Sign in / Register |Wishlists & Gift Vouchers |Help | Advanced search

Checkout
- Your Cart Price

Your cart

Your cart is empty

Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics

Buy Now

Bayesian Methods in the Search for MH370 (Paperback, 1st ed. 2016) Loot Price: R1,111

Discovery Miles 11 110

Repayment Terms: R104 pm x 12*

Add to cart

Bayesian Methods in the Search for MH370 (Paperback, 1st ed. 2016): Sam Davey, Neil Gordon, Ian Holland, Mark Rutten, Jason...

Bayesian Methods in the Search for MH370 (Paperback, 1st ed. 2016)

Sam Davey, Neil Gordon, Ian Holland, Mark Rutten, Jason Williams

Series: SpringerBriefs in Electrical and Computer Engineering

(sign in to rate)

Loot Price R1,111 Discovery Miles 11 110 | Repayment Terms: R104 pm x 12*

Expected to ship within 10 - 15 working days

Description
Details
Customer Reviews

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	SpringerBriefs in Electrical and Computer Engineering
Release date:	July 2016
First published:	2016
Authors:	Sam Davey • Neil Gordon • Ian Holland • Mark Rutten • Jason Williams
Dimensions:	235 x 155 x 11mm (L x W x T)
Format:	Paperback
Pages:	114
Edition:	1st ed. 2016
ISBN-13:	978-981-10-0378-3
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Computing & IT > General theory of computing > Mathematical theory of computation Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General Promotions
LSN:	981-10-0378-5
Barcode:	9789811003783