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 | marginal_rv = { |
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20 | class = "RV"; |
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21 | names = ( "x" ); |
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22 | }; |
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23 | tolerance = 0.2; |
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24 | }, |
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25 | { |
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26 | class = "epdf_harness"; |
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27 | epdf = { |
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28 | class = "enorm<fsqmat>"; |
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29 | mu = [ 0.0, 0.0 ]; |
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30 | R = ( "matrix", 2, 2, [ 5.0, -0.05, -0.05, 5.2 ] ); |
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31 | rv : |
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32 | { |
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33 | class = "RV"; |
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34 | names = ( "x" ); |
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35 | }; |
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36 | }; |
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37 | mean = [ 0.0, 0.0 ]; |
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38 | variance = [ 5.0, 5.2 ]; |
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39 | support = ( "matrix", 2, 2, [ -10.0, 10.0, -10.0, 10.0 ] ); |
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40 | R = ( "matrix", 2, 2, [ 5.0, -0.05, -0.05, 5.2 ] ); |
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41 | nbins = [ 200, 200 ]; |
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42 | integral = 1.0; |
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43 | tolerance = 0.5; |
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44 | }, |
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45 | { |
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46 | class = "epdf_harness"; |
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47 | epdf = { |
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48 | class = "enorm<ldmat>"; |
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49 | mu = 3.0; |
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50 | R = 1.0; |
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51 | rv : |
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52 | { |
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53 | class = "RV"; |
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54 | names = ( "a" ); |
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55 | }; |
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56 | }; |
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57 | mean = 3.0; |
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58 | lognc = 2.11768; |
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59 | variance = [ 1 ]; |
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60 | R = 1.0; |
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61 | tolerance = 0.5; |
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62 | }, |
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63 | { |
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64 | class = "epdf_harness"; |
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65 | epdf = { |
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66 | class = "enorm<ldmat>"; |
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67 | mu = 7.0; |
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68 | R = 1.0; |
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69 | rv : |
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70 | { |
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71 | class = "RV"; |
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72 | names = ( "b" ); |
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73 | }; |
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74 | }; |
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75 | mean = 7.0; |
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76 | variance = [ 1 ]; |
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77 | R = 1.0; |
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78 | }, |
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79 | { |
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80 | class = "epdf_harness"; |
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81 | epdf = { |
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82 | class = "enorm<ldmat>"; |
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83 | mu = -3.0; |
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84 | R = 2.0; |
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85 | rv : |
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86 | { |
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87 | class = "RV"; |
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88 | names = ( "a" ); |
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89 | }; |
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90 | }; |
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91 | mean = -3.0; |
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92 | variance = [ 2 ]; |
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93 | }, |
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94 | { |
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95 | class = "epdf_harness"; |
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96 | epdf = { |
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97 | class = "enorm<chmat>"; |
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98 | mu = ( "matrix", 1, 2, [ 0.0, 2.0 ] ); |
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99 | R = ( "matrix", 2, 2, [ 2.0, 0.0, 0.0, 0.5 ] ); |
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100 | rv : |
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101 | { |
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102 | class = "RV"; |
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103 | names = ( "a", "b" ); |
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104 | }; |
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105 | }; |
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106 | mean = [ 0.0, 2.0 ]; |
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107 | variance = [ 2.0, 0.5 ]; |
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108 | R = ( "matrix", 2, 2, [ 2.0, 0.0, 0.0, 0.5 ] ); |
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109 | tolerance = 0.5; |
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110 | } ); |
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111 | |
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