Statistical Data Fusion (Hardcover) (ISBN-13: 9789813200180)

'The book provides a comprehensive review of the DRM approach to data fusion. It is well written and easy to follow, although the technical details are not trivial. The authors did an excellent job in making a concise introduction of the statistical techniques in data fusion. The book contains several real data ... Overall, I found that the book covers an important topic and the DRM is a promising tool in this area. Researchers on data fusion will surely find this book very helpful and I will use this book in studying with my PhD students.'Journal of the American Statistical AssociationThis book comes up with estimates or decisions based on multiple data sources as opposed to more narrowly defined estimates or decisions based on single data sources. And as the world is awash with data obtained from numerous and varied processes, there is a need for appropriate statistical methods which in general produce improved inference by multiple data sources.The book contains numerous examples useful to practitioners from genomics. Topics range from sensors (radars), to small area estimation of body mass, to the estimation of small tail probabilities, to predictive distributions in time series analysis.

Author: Benjamin Kedem, Victor de Oliveira, Michael Sverchkov
ISBN-10: 9813200189
ISBN-13: 9789813200180
Publisher: World Scientific Publishing Company
Language: English
Published: 04/28/2017
Pages: 200
Format: Hardcover
Weight: 1.40lbs
Size: 9.70h x 6.90w x 0.80d