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ANALYSIS OF INFLUENCE SHARING IN JUDGMENTAL FORECASTING: REGRESSION MODELS AND PERCEPTUAL MEASURE
Author(s) -
Bliemel Friedhelm,
Cattin Phillipe
Publication year - 1976
Publication title -
decision sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.238
H-Index - 108
eISSN - 1540-5915
pISSN - 0011-7315
DOI - 10.1111/j.1540-5915.1976.tb00679.x
Subject(s) - group (periodic table) , perception , measure (data warehouse) , computer science , commodity , regression analysis , econometrics , artificial intelligence , psychology , machine learning , data mining , economics , chemistry , organic chemistry , neuroscience , market economy
The committee or group approach is often used where considerable uncertainties have to be handled by skillful judgment. In this paper the authors investigate the subject of influence sharing in judgmental forecasting of commodity prices. They propose a conceptual framework for patterns of influence sharing in groups and for influence roles of individuals. A statistical analysis of the influence of group members on the group forecast leads to inferences about influence pattern and roles in a group.