Bayesian Methods in the Search for MH370 (SpringerBriefs in Electrical and Computer Engineering)

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9789811003783: Bayesian Methods in the Search for MH370 (SpringerBriefs in Electrical and Computer Engineering)

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.

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About the Author:


Samuel Davey received the Bachelor of Engineering, Master of Mathematical Science and PhD degrees from the University of Adelaide, Australia, in 1996, 1999, and 2003, respectively. Since 1995 he has worked for the Defence Science and Technology Group, Australia, in the areas of target tracking, tracker performance assessment, and multi-sensor fusion. He is a Visiting Research Fellow at the University of Adelaide and a Senior Member of the IEEE.
Neil Gordon received a PhD in Statistics from Imperial College London in 1993. He was with the Defence Evaluation and Research Agency in the UK until 2002 working on missile guidance and statistical data processing. He is best known for initiating the particle filter approach to nonlinear, non-Gaussian dynamic estimation which is now in widespread use throughout the world in many diverse disciplines. He is the co-author/co-editor of two books on particle filtering. In 2002 he moved to the Defence Science and Technology Group in Adelaide, Australia where he is currently head of Data and Information Fusion. In 2014 he became an Honorary Professor with the School of Information Technology and Electrical Engineering at the University of Queensland. He is a Senior Member of the IEEE.
Ian Holland received the Bachelor of Electronic and Communication Engineering in 2000 and a PhD in wireless telecommunications in 2005, both from Curtin University of Technology, Western Australia. Since then he has held positions in the University of Western Australia, the Institute for Telecommunications Research at the University of South Australia, EMS Satcom Pacific and Lockheed Martin Australia. Since January 2011, Ian has been working as a Research Scientist in Protected Satellite Communications at the Defence Science and Technology Group.
Mark Rutten received the Bachelor of Science, Bachelor of Engineering and Master of Mathematical Science from the University of Adelaide in 1995, 1996 and 1999, respectively and a PhD from the University of Melbourne in 2005 on Multipath Tracking for Over the Horizon Radars. He has worked on data and information fusion for the Defence Science and Technology Group since 1996. His research interests include nonlinear state estimation, target tracking and multi-sensor fusion.
Jason Williams received degrees of Bachelor of Engineering in Electronics andBachelor of Information Technology from Queensland University of Technology in 1999, Master of Science in Electrical Engineering from the United States Air Force Institute of Technology in 2003, and PhD in Electrical Engineering and Computer Science from Massachusetts Institute of Technology in 2007. He worked for several years as an engineering officer in the Royal Australian Air Force, before joining Australia’s Defence Science and Technology Group in 2007. He is also an Adjunct Senior Lecturer at the University of Adelaide. His research interests include target tracking, sensor resource management, Markov random fields and convex optimisation.

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Neil Gordon, Ian Holland, Jason Williams
Editorial: Springer Verlag, Singapore, Singapore (2016)
ISBN 10: 9811003785 ISBN 13: 9789811003783
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Descripción Springer Verlag, Singapore, Singapore, 2016. Paperback. Estado de conservación: New. 1st ed. 2016. Language: English . Brand New Book. 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. Nº de ref. de la librería SPR9789811003783

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Descripción Springer Verlag, Singapore, 2016. PAP. Estado de conservación: New. New Book.Shipped from US within 10 to 14 business days.THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. de la librería IP-9789811003783

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Neil Gordon, Ian Holland, Jason Williams
Editorial: Springer Verlag, Singapore, Singapore (2016)
ISBN 10: 9811003785 ISBN 13: 9789811003783
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Descripción Springer Verlag, Singapore, Singapore, 2016. Paperback. Estado de conservación: New. 1st ed. 2016. Language: English . Brand New Book. 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. Nº de ref. de la librería SPR9789811003783

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Davey, Sam/ Gordon, Neil/ Holland, Ian/ Rutten, Mark/ Williams, Jason
Editorial: Springer Verlag (2016)
ISBN 10: 9811003785 ISBN 13: 9789811003783
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Descripción Springer Verlag, 2016. Paperback. Estado de conservación: Brand New. 9.00x6.00x0.25 inches. In Stock. Nº de ref. de la librería __9811003785

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Davey, Sam
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Descripción Springer 7/25/2016, 2016. Paperback or Softback. Estado de conservación: New. Bayesian Methods in the Search for Mh370. Book. Nº de ref. de la librería BBS-9789811003783

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SAM DAVEY
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ISBN 10: 9811003785 ISBN 13: 9789811003783
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Descripción Springer, 2016. Paperback. Estado de conservación: NEW. 9789811003783 This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. Nº de ref. de la librería HTANDREE01007800

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Sam Davey
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Descripción Springer, 2016. Estado de conservación: New. Nº de ref. de la librería L9789811003783

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Davey, Sam
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Descripción Springer, 2017. Paperback. Estado de conservación: New. Never used! This item is printed on demand. Nº de ref. de la librería 9811003785

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Descripción Springer, 2016. Paperback. Estado de conservación: New. PRINT ON DEMAND Book; New; Publication Year 2016; Not Signed; Fast Shipping from the UK. No. book. Nº de ref. de la librería ria9789811003783_lsuk

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Sam Davey, Neil Gordon, Ian Holland, Mark Rutten, Jason Williams
Editorial: Springer-Verlag Gmbh 2016-04-07 (2016)
ISBN 10: 9811003785 ISBN 13: 9789811003783
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Descripción Springer-Verlag Gmbh 2016-04-07, 2016. Paperback. Estado de conservación: New. Nº de ref. de la librería NU-ING-32695285

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