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Statistical data fusion
~
Kedem, Benjamin, (1944-)
Statistical data fusion
Record Type:
Electronic resources : Monograph/item
Title/Author:
Statistical data fusionBenjamin Kedem, Victor de Oliveira, Michael Sverchkov.
Author:
Kedem, Benjamin,
other author:
Oliveira, Victor de
Published:
Singapore :World Scientific,c2017.
Description:
1 online resource (199 p.) :ill. (some col.)
Notes:
Title from PDF file title page (viewed March 15, 2017)
Subject:
Mathematical statistics.
Online resource:
http://www.worldscientific.com/worldscibooks/10.1142/10282#t=toc
ISBN:
9789813200197$q(electronic bk.)
Statistical data fusion
Kedem, Benjamin,1944-
Statistical data fusion
[electronic resource] /Benjamin Kedem, Victor de Oliveira, Michael Sverchkov. - 1st ed. - Singapore :World Scientific,c2017. - 1 online resource (199 p.) :ill. (some col.)
Title from PDF file title page (viewed March 15, 2017)
Includes bibliographical references (p. 173-184) and index.
"This book comes up with estimates or decisions based on multiple data sources as opposed to more narrowly defined estimates or decisions based on single data sources. And as the world is awash with data obtained from numerous and varied processes, there is a need for appropriate statistical methods which in general produce improved inference by multiple data sources. The book contains numerous examples useful to practitioners from genomics. Topics range from sensors (radars), to small area estimation of body mass, to the estimation of small tail probabilities, to predictive distributions in time series analysis."--Publisher's website.
Mode of access: World Wide Web.
ISBN: 9789813200197$q(electronic bk.)
LCCN: 2016047612Subjects--Topical Terms:
181877
Mathematical statistics.
LC Class. No.: QA276 / .K2447 2017
Dewey Class. No.: 519.5
Statistical data fusion
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Statistical data fusion
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Benjamin Kedem, Victor de Oliveira, Michael Sverchkov.
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World Scientific,
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Title from PDF file title page (viewed March 15, 2017)
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Includes bibliographical references (p. 173-184) and index.
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"This 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."--Publisher's website.
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http://www.worldscientific.com/worldscibooks/10.1142/10282#t=toc
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EB QA276 K2447 c2017
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http://www.worldscientific.com/worldscibooks/10.1142/10282#t=toc
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