root/library/tests/testsuite/enorm.cfg @ 1383

Revision 1196, 2.6 kB (checked in by smidl, 14 years ago)

monitor Neff + test enorm

Line 
1data = (
2{
3  class = "epdf_harness";
4  epdf = {
5    class = "enorm<ldmat>";
6    mu = [ 1.1, -1.0 ];
7    R = ( "matrix", 2, 2, [ 1.0, -0.5, -0.5, 2.0 ] );
8    rv :
9    {
10      class = "RV";
11      names = ( "x", "y" );
12    };
13  };
14  mean = [ 1.1, -1.0 ];
15  variance = [ 1, 2 ];
16  support = {
17        class = "rectangular_support";
18        ranges = ( [ -5.0, 5.0 ], [-5.0, 5.0 ] );
19        gridsizes = [ 100, 100 ];
20        };
21  R = ( "matrix", 2, 2, [ 1.0, -0.5, -0.5, 2.0 ] );
22  marginal_rv =     {
23      class = "RV";
24      names = ( "y" );
25    };
26  tolerance = 0.3;
27},
28{
29  class = "epdf_harness";
30  epdf = {
31    class = "enorm<ldmat>";
32    mu = [ 1.1, -2.0, 3.0];
33    R = ( "matrix", 3, 3, [ 1.0, -0.5, 0.8, -0.5, 2.0, 0.3, 0.8, 0.3, 3.0  ] );
34    rv :
35    {
36      class = "RV";
37      names = ( "x", "y", "z" );
38    };
39  };
40  mean = [ 1.1, -2.0, 3.0 ];
41  variance = [ 1, 2, 3 ];
42  support = {
43        class = "rectangular_support";
44        ranges = ( [ -5.0, 5.0 ], [-5.0, 5.0 ], [-1.0, 9.0] );
45        gridsizes = [ 50, 50, 50 ];
46        };
47 R = ( "matrix", 3, 3, [ 1.0, -0.5, 0.8, -0.5, 2.0, 0.3, 0.8, 0.3, 3.0  ] );
48  marginal_rv =     {
49      class = "RV";
50      names = ( "z" );
51    };
52  tolerance = 0.1;
53},
54{
55  class = "epdf_harness";
56  epdf = {
57    class = "enorm<fsqmat>";
58    mu = [ 0.0, 0.0 ];
59    R = ( "matrix", 2, 2, [ 5.0, -0.05, -0.05, 5.2 ] );
60    rv :
61    {
62      class = "RV";
63      names = ( "x" );
64    };
65  };
66  mean = [ 0.0, 0.0 ];
67  variance = [ 5.0, 5.2 ];
68  support = {
69        class = "rectangular_support";
70        ranges = ( [ -10.0, 10.0 ], [-10.0, 10.0 ] );
71        gridsizes = [ 100, 100 ];
72        };
73  R = ( "matrix", 2, 2, [ 5.0, -0.05, -0.05, 5.2 ] );
74  nbins = [ 200, 200 ];
75  tolerance = 0.8;
76},
77{
78  class = "epdf_harness";
79  epdf = {
80    class = "enorm<ldmat>";
81    mu = 3.0;
82    R = 1.0;
83    rv :
84    {
85      class = "RV";
86      names = ( "a" );
87    };
88  };
89  mean = 3.0;
90  lognc = 2.11768;
91  variance = [ 1 ];
92  R = 1.0;
93  tolerance = 0.5;
94},
95{
96  class = "epdf_harness";
97  epdf = {
98    class = "enorm<ldmat>";
99    mu = 7.0;
100    R = 1.0;
101    rv :
102    {
103      class = "RV";
104      names = ( "b" );
105    };
106  };
107  mean = 7.0;
108  variance = [ 1 ];
109  R = 1.0;
110},
111{
112  class = "epdf_harness";
113  epdf = {
114    class = "enorm<ldmat>";
115    mu = -3.0;
116    R = 2.0;
117    rv :
118    {
119      class = "RV";
120      names = ( "a" );
121    };
122  };
123  mean = -3.0;
124  variance = [ 2 ];
125},
126{
127  class = "epdf_harness";
128  epdf = {
129    class = "enorm<chmat>";
130    mu = ( "matrix", 1, 2, [ 0.0, 2.0 ] );
131    R = ( "matrix", 2, 2, [ 1.0, 0.3, 0.3, 0.5 ] );
132    rv :
133    {
134      class = "RV";
135      names = ( "a", "b" );
136    };
137  };
138  mean = [ 0.0, 2.0 ];
139  variance = [ 1.0, 0.5 ];
140  R = ( "matrix", 2, 2, [ 1.0, 0.3, 0.3, 0.5 ] );
141} );
142
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