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Statistical Computing in Nuclear Imaging
book

Statistical Computing in Nuclear Imaging

by Arkadiusz Sitek
December 2014
Intermediate to advanced content levelIntermediate to advanced
275 pages
9h 12m
English
CRC Press
Content preview from Statistical Computing in Nuclear Imaging
52 Statistical Computing in Nuclear Imaging
in Table 2.5) the decision in favor of hypothesis 1 should be made when the
second roll g is 1, 2, or 3, and in favor of hypothesis 2 when the second roll is
4, 5, or 6.
TABLE 2.5
Values of posterior expected losses for composite hypotheses
p(Θ
1
|G = g) p(Θ
2
|G = g) ̺(δ(H
1
); G = g) ̺(δ(H
2
); G = g)
g 1 125/147 22/147 22x/147 125x/147
2 65/87 22/87 22x/87 65x/87
3 35/57 22/57 22x/57 35x/57
4 15/37 22/37 22x/37 15x/37
5 0 1 x 0
6 0 1 x 0
2.3.4 BINARY HYPOTHESIS TESTING/DETECTION
The previous section discussed the general multiple-alternative decision mak-
ing that includes binary hypothesis testing. We dedicate here ...
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Publisher Resources

ISBN: 9781439849347