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Statistical data fusion

Kedem, Benjamin, (1944-)

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Statistical data fusion

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Statistical data fusion/ Benjamin Kedem, Victor de Oliveira, Michael Sverchkov.
作者:	Kedem, Benjamin,
其他作者:	Oliveira, Victor de
出版者:	Singapore :World Scientific, : c2017.,
面頁冊數:	1 online resource (199 p.) :ill. (some col.)
附註:	Title from PDF file title page (viewed March 15, 2017)
標題:	Mathematical statistics. -
電子資源:	http://www.worldscientific.com/worldscibooks/10.1142/10282#t=toc
ISBN:	9789813200197

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

LCCN: 2016047612Subjects--Topical Terms:

516858
Mathematical statistics.

LC Class. No.: QA276 / .K2447 2017

Dewey Class. No.: 519.5

Statistical data fusion
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260 $a Singapore : $b World Scientific, $c c2017.
300 $a 1 online resource (199 p.) : $b ill. (some col.)
500 $a Title from PDF file title page (viewed March 15, 2017)
504 $a Includes bibliographical references (p. 173-184) and index.
520 $a "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.
538 $a Mode of access: World Wide Web.
650 0 $a Mathematical statistics. $3 516858
650 0 $a Mathematical analysis. $3 516833
650 0 $a Electronic books. $3 855788
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700 1 $a Sverchkov, Michael. $3 3315430
856 4 0 $u http://www.worldscientific.com/worldscibooks/10.1142/10282#t=toc