The Use of Test Scores for Classification Decisions with Threshold Utility
1987 ◽
Vol 12
(1)
◽
pp. 62-75
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Keyword(s):
The classification problem consists of assigning subjects to one of several available treatments on the basis of their test scores, where the success of each treatment is measured by a different criterion. It is indicated how this problem can be formulated as an (empirical) Bayes decision problem. As an example, the case of classification with a threshold utility function is analyzed, and optimal assignment rules are derived. The results are illustrated empirically with data from a classification problem in which achievement test data are used to assign students to appropriate continuation schools.
1973 ◽
Vol 6
(1)
◽
pp. 28-34
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2016 ◽
Vol 32
(3)
◽
pp. 204-214
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Keyword(s):
2008 ◽
Vol 56
(2)
◽
pp. 145-161
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2020 ◽
Vol 63
(4)
◽
pp. 372-385
Keyword(s):
1993 ◽
Vol 25
(1)
◽
pp. 69-95
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2013 ◽
Vol 83
(1)
◽
pp. 17-26
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Keyword(s):
Keyword(s):