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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