Direct Approach to Data Fusion (Record no. 28460)

MARC details
000 -LEADER
fixed length control field 01975pab a2200205 454500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 140923b0 xxu||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Transcribing agency Welingkar Institute of Management Development & Research, Mumbai
Original cataloging agency Welingkar Institute of Management Development & Research, Mumbai
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title ENG
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number
Item number Gil
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Gilula Zvi
245 ## - TITLE STATEMENT
Title Direct Approach to Data Fusion
250 ## - EDITION STATEMENT
Edition statement 1
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc.
Name of publisher, distributor, etc. Feb 2006
Date of publication, distribution, etc. 0
300 ## - PHYSICAL DESCRIPTION
Extent 73-83 Pp.
490 ## - SERIES STATEMENT
Volume/sequential designation XLIII
520 ## - SUMMARY, ETC.
Summary, etc. The generic data fusion problem is to make inferences about the joint distribution of two sets of variables without any direct observations of the joint distribution. Instead, information is available only for each set separately along with some other set of common variables. The standard approach to data fusion creates a fused data set with the variables of interest and the common variables. This article develops an approach that directly estimates the joint distribution of just the variables of interest. For the case of either discrete or continuous variables, the approach yields a solution that can be implemented with standard statistical models and software. In typical marketing applications, the common variables are psychographic or demographic variables, and the variables to be fused involve media viewing and product purchase. For this example, the approach directly estimates the joint distribution of media viewing and product purchase without including the common variables. This is the object required for marketing decisions. In marketing applications, fusion of discrete variables is required. The authors develop a method for relaxing the assumption of conditional independence for this case. They illustrate their approach with product-purchase and media-viewing data from a large survey of British consumers.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Joint Distribution, Data Fusion, Joint Fusion,
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://192.168.6.13/libsuite/mm_files/Articles/AR8548.pdf">http://192.168.6.13/libsuite/mm_files/Articles/AR8548.pdf</a>
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN)
a 25040
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Date acquired Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Cost, replacement price Price effective from Koha item type
        Main Library Main Library 03/04/2007 0.00   Gil AR8548 23/09/2014 0.00 23/09/2014 Articles

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