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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
Basic statistical concepts 11
from the joint distribution simply by extracting values of the joint dist
ribu-
tion corresponding to known QoIs and normalizing them by
R
fF
p(f, g). This
process is illustrated with Example 1.6.
Example 1.6: Conditional distribution from joint distribution
The concept of the joint probability distribution is illustrated in Figure 1.3. For
clarity, we assum e that f and g are one-dimensional QoIs and for each pair
{g, f} the probability is assigned. We first define all possible true values of
f and g which is the region [0, 1]. An analytical function p(f, g) = 144(f
0.5)
2
× (g 0.5)
2
is chosen to represent the joint distribution ...
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Publisher Resources

ISBN: 9781439849347