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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
92 Statistical Computing in Nuclear Imaging
k = 1
k = 2
k = 3
k = 4
i = 1
category 0
FIGURE 3.10 Schematic drawing of a single voxel (shaded) with index i = 1 and
multiple detector elements (four) indexed by k = 1, . . . , 4. The number of decays that
were not detected and the number of nuclei that did not decay comp rise category 0
of multinomial distribution.
Poisson-multinomial).
The Poisson–multinomial distribution of g can be approximated by the
product of independent Poisson distributions using the generalization of Le
Cam’s Theorem [71].
Generalization of Le Cam’ s Theorem for multinomial distri-
butions: Suppose we consider I numbe r of vector-QoIs ...
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Publisher Resources

ISBN: 9781439849347