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Revision 450, 1.7 kB
(checked in by vbarta, 16 years ago)
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removed enorm<sq_T>::sample(int) - now spelled sample_m, inherited
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| 1 | data = ( |
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| 2 | { |
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| 3 | class = "epdf_harness"; |
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| 4 | epdf = { |
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| 5 | class = "enorm<ldmat>"; |
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| 6 | mu = [ 1.1, -1.0 ]; |
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| 7 | R = ( "matrix", 2, 2, [ 1.0, -0.5, -0.5, 2.0 ] ); |
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| 8 | rv : |
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| 9 | { |
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| 10 | class = "RV"; |
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| 11 | names = ( "x", "y" ); |
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| 12 | }; |
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| 13 | }; |
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| 14 | mean = [ 1.1, -1.0 ]; |
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| 15 | variance = [ 1, 2 ]; |
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| 16 | support = ( "matrix", 2, 2, [ -5.0, 5.0, -5.0, 5.0 ] ); |
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| 17 | integral = 1.0; |
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| 18 | R = ( "matrix", 2, 2, [ 1.0, -0.5, -0.5, 2.0 ] ); |
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| 19 | }, |
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| 20 | { |
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| 21 | class = "epdf_harness"; |
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| 22 | epdf = { |
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| 23 | class = "enorm<fsqmat>"; |
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| 24 | mu = [ 0.0, 0.0 ]; |
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| 25 | R = ( "matrix", 2, 2, [ 5.0, -0.05, -0.05, 5.2 ] ); |
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| 26 | rv : |
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| 27 | { |
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| 28 | class = "RV"; |
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| 29 | names = ( "x" ); |
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| 30 | }; |
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| 31 | }; |
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| 32 | mean = [ 0.0, 0.0 ]; |
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| 33 | variance = [ 5.0, 5.2 ]; |
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| 34 | support = ( "matrix", 2, 2, [ -10.0, 10.0, -10.0, 10.0 ] ); |
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| 35 | nbins = [ 200, 200 ]; |
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| 36 | integral = 1.0; |
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| 37 | }, |
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| 38 | { |
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| 39 | class = "epdf_harness"; |
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| 40 | epdf = { |
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| 41 | class = "enorm<ldmat>"; |
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| 42 | mu = 3.0; |
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| 43 | R = 1.0; |
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| 44 | rv : |
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| 45 | { |
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| 46 | class = "RV"; |
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| 47 | names = ( "a" ); |
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| 48 | }; |
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| 49 | }; |
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| 50 | mean = 3.0; |
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| 51 | lognc = 2.11768; |
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| 52 | variance = [ 1 ]; |
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| 53 | }, |
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| 54 | { |
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| 55 | class = "epdf_harness"; |
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| 56 | epdf = { |
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| 57 | class = "enorm<ldmat>"; |
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| 58 | mu = 7.0; |
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| 59 | R = 1.0; |
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| 60 | rv : |
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| 61 | { |
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| 62 | class = "RV"; |
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| 63 | names = ( "b" ); |
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| 64 | }; |
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| 65 | }; |
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| 66 | mean = 7.0; |
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| 67 | variance = [ 1 ]; |
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| 68 | }, |
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| 69 | { |
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| 70 | class = "epdf_harness"; |
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| 71 | epdf = { |
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| 72 | class = "enorm<ldmat>"; |
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| 73 | mu = -3.0; |
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| 74 | R = 2.0; |
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| 75 | rv : |
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| 76 | { |
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| 77 | class = "RV"; |
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| 78 | names = ( "a" ); |
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| 79 | }; |
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| 80 | }; |
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| 81 | mean = -3.0; |
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| 82 | variance = [ 2 ]; |
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| 83 | }, |
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| 84 | { |
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| 85 | class = "epdf_harness"; |
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| 86 | epdf = { |
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| 87 | class = "enorm<ldmat>"; |
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| 88 | mu = ( "matrix", 1, 2, [ 0.0, 2.0 ] ); |
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| 89 | R = ( "matrix", 2, 2, [ 2.0, 0.0, 0.0, 0.5 ] ); |
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| 90 | rv : |
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| 91 | { |
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| 92 | class = "RV"; |
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| 93 | names = ( "a", "b" ); |
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| 94 | }; |
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| 95 | }; |
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| 96 | mean = [ 0.0, 2.0 ]; |
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| 97 | variance = [ 2.0, 0.5 ]; |
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| 98 | } ); |
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| 99 | |
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