The official journal of the International Society for Business and
Industrial Statistics, Applied Stochastic Models in Business and
Industry (ASMBI), is inviting contributions for a special issue devoted
to fusion inference for problems in business and industry. Fusion
inference, sometimes called fusion learning, is the use of statistical
methods for combining results from different studies. Meta-analysis is
a well-known example of fusion inference. Combining reliability data
across different test environments is another example. Fusion inference
is of vital importance in light of the increasing trend to collect data
from heterogeneous sources.
Papers should present either innovative methodologies fusion inference,
or forceful applications of existing methods. All submissions will go
through the standard, selective review process of ASMBI. Submissions are
possible until July 31, 2016 through the website
http://mc.manuscriptcentral.com/asmb
Please follow the ASMBI author submission guidelines given on the ASMBI
website and click on the box about submissions for special issues,
mentioning "Data Fusion" when requested.
The Guest Editors of the special issue are Daniel R. Jeske
([log in to unmask]) and Min-ge Xie ([log in to unmask]).
For any information about the ASMBI journal, please contact the
Editor-in-Chief: Fabrizio Ruggeri ([log in to unmask]).
--
Fabrizio Ruggeri fabrizio AT mi.imati.cnr.it
CNR IMATI tel +39 0223699532
Via Bassini 15 fax +39 0223699538
I-20133 Milano (Italy) web.mi.imati.cnr.it/fabrizio
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