Environmental Engineering Reference
In-Depth Information
Table 1.20 A verage of 1000 positive-de i nite matrices obtained from bootstrap samples
X 1 X 2 X 3 X 4 X 5 X 6 X 7 X 8 X 9 X 10
X 1 1.00 0.91 0.25 0.24 0.30 0.10 0.21 0.09 0.09 0.07
X 2 1.00 0.32 0.21 0.27 0.04 0.25 0.11 0.00 0.01
X 3 Index properties 1.00 0.49 0.57 0.01 0.59 0.05 0.06 0.05
X 4 1.00 0.72 0.50 0.00 0.20 0.38 0.32
C = X 5 1.00 0.01 0.06 0.03 0.11 0.04
X 6 1.00 0.18 0.24 0.73 0.63
X 7 Stresses and strengths 1.00 0.18 0.15 -0.08
X 8 1.00 0.45 -0.63
X 9 Symmetry 1.00 0.74
X 10 CPTU parameters 1.00
Source: Ching, J. and Phoon, K.K. 2014b. Canadian Geotechnical Journal , 51(6), 686-704, reproduced with permission of the
NRC Research Press.
is a realistic example as Y 8 and Y 10 are routinely measured simultaneously in piezocone
surroundings.
The solution requires the distribution of a six-dimensional random vector. In standard
normal space, this random vector can be partitioned into two subvectors:
X
X
5
6
X
=
X []
[]
1
3
X
=
(1.113)
X
X
X
X
2
4
8
10
The correlation matrix for the six-dimensional random vector (which is simply a subma-
trix extracted from Table 1.20 ) is partitioned as shown below to make explicit the correlation
matrix for each subvector (C [11] and C [22] ) and the cross-correlation matrix (C [12] = transpose
of C [21] ):
XX XXXX
5
6
3
4
8
10
X
X
CX
X
X
X
1
.
01
057072
.
.
003004
.
.
5
00110
.
.
01
050024
.
.
063
.
6
=
057001
.
.
1
0 49
.
005005
.
.
=
CC
CC
[]
11
[]
12
(1.114)
3
072050
.
.
049
.
11
.
20
032
.
[]
21
[]
22
4
003024
.
.
005020
.
.
1
0 63
.
8
004063
.
.
005032
.
.
06
.
331
10
The conditional distribution of X [1] given X [2] is a bivariate normal distribution with the
following mean vector and covariance matrix:
0 228
.
0 691
.
0 035
.
0 230
.
(
)
1
[]
1
µ update
=
CC
[]
12
[]
22
X
[]
2
=
X
[]
2
0 152
.
0 419
.
0 233
.
0 634
.
(1.115)
0 359
.
0 204
.
=
(
)
1
[]
11
C
=
C
[]
11
C
[]
12
C
[]
22
C []
21
update
0 204
.
0 451
.
 
 
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