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In-Depth Information
p
M 2
n X
n X
n
n
1
1
2
r 1 ¼ M 3 M 3 = 2
2
M 1 ¼
x i ;
M 2 ¼
ð
x i M 1
Þ
;
;
V ¼
100 %;
M 1
i ¼ 1
i ¼ 1
X
n
2
ð n 2 Þð n 3 Þ ;
n
ð n 1 Þð n 2 Þ
M 4
M 2
3 ð n 1 Þ
3
M 3 ¼
ð
x i M 1
Þ
;
r 2 ¼
i¼1
Z 1
X
n
n ð n þ 1 Þ
ð n 1 Þð n 2 Þð n 3 Þ
4
M 4 ¼
ð
x i M 1
Þ
;
H ¼
f a ð x Þ ln f a ð x Þ
½
dx ;
R i ¼ x i ; max x i ; min ;
i ¼ 1
1
M 4
M 2 3 :
M 6 ¼
These characteristics and other standard parameters are used to reconstruct f a (x).
For instance, if M 3
0, if a should be searched for in symmetric distri-
butions. Unit RUA performs this search by selecting continuous distributions from
the knowledge base and estimating their distance from the empirical distribution
using the criterion:
0 and r 1
¼ X
L
2
½
m i f a ð x i ÞD x i
2
v
f a ð x i ÞD
x i
i¼1
The continuous distribution f *
is chosen to satisfy the following condition:
2
2
ð f Þ:
min
f a v
ð f a Þ ¼ v
Fig. 3.7 Block scheme of the
data processing in the
sequential analysis procedure
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