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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
Elements of decision theory 47
L(θ, δ)
θ δ
ǫ
L(θ, δ)
θ δ
(A) (B)
1
0
1
0
ˆ
θ
1
ˆ
θ
2
FIGURE 2.4 The one-dimensional loss function that leads to MAP estimators for
continuous (A) and discrete (B) cases.
the following two examples:
Example 2.6: Pulling goaltender in an ice hockey game
Suppose a hockey team A is down 1 goal losing to team B and there are 30
seconds left in a play off ga me (losing team is out of competition). Suppose we
consider only three outc ome s : (1) Team A sc ores keeping its changes alive and
forcing the overtime, (2) Team B scores winning the match by the difference
of two goals, and (3) there are no more goals and team B wins by one goal.
Therefore ...
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Publisher Resources

ISBN: 9781439849347