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Statistical Data Fusion - by Benjamin Kedem & Victor De Oliveira & Michael Sverchkov (Hardcover)

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Data fusion is not a particular technique, say Kedem, De Oliveira, and Sverchkov but a broad approach to making estimates or decisions based on multiple data sources. They describe some aspects of inference based on the combination, fusion, or integration of many samples, each obtained from, in general, an unknown probability distribution. Beginning with semiparametric inference from fused data about probability distributions, they cover weighted systems of distributions, multivariate extension, some asymptotic results, and out of sample fusion. Other topics are Bayesian weighted systems, and small area estimation. Annotation ©2017 Ringgold, Inc., Portland, OR (protoview.com)
Number of Pages: 186
Genre: Mathematics
Format: Hardcover
Publisher: World Scientific Pub Co Inc
Author: Benjamin Kedem & Victor De Oliveira & Michael Sverchkov
Language: English
Street Date: April 28, 2017
TCIN: 52145413
UPC: 9789813200180
Item Number (DPCI): 248-42-7570
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$93.10
MSRPReg: $98.00 Save $4.90 (5% off)
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