root/library/tests/testsuite/enorm.cfg @ 730

data = (
{
  class = "epdf_harness";
  epdf = {
    class = "enorm<ldmat>";
    mu = [ 1.1, -1.0 ];
    R = ( "matrix", 2, 2, [ 1.0, -0.5, -0.5, 2.0 ] );
    rv : 
    {
      class = "RV";
      names = ( "x", "y" );
    };
  };
  mean = [ 1.1, -1.0 ];
  variance = [ 1, 2 ];
  support = {
        class = "rectangular_support";
        ranges = ( [ -5.0, 5.0 ], [-5.0, 5.0 ] );
        gridsizes = [ 100, 100 ];
        };
  R = ( "matrix", 2, 2, [ 1.0, -0.5, -0.5, 2.0 ] );
  marginal_rv =     {
      class = "RV";
      names = ( "y" );
    };
  tolerance = 0.3;
},
{
  class = "epdf_harness";
  epdf = {
    class = "enorm<fsqmat>";
    mu = [ 0.0, 0.0 ];
    R = ( "matrix", 2, 2, [ 5.0, -0.05, -0.05, 5.2 ] );
    rv : 
    {
      class = "RV";
      names = ( "x" );
    };
  };
  mean = [ 0.0, 0.0 ];
  variance = [ 5.0, 5.2 ];
  support = {
        class = "rectangular_support";
        ranges = ( [ -10.0, 10.0 ], [-10.0, 10.0 ] );
        gridsizes = [ 100, 100 ];
        };
  R = ( "matrix", 2, 2, [ 5.0, -0.05, -0.05, 5.2 ] );
  nbins = [ 200, 200 ];
  tolerance = 0.8;
},
{
  class = "epdf_harness";
  epdf = {
    class = "enorm<ldmat>";
    mu = 3.0;
    R = 1.0;
    rv : 
    {
      class = "RV";
      names = ( "a" );
    };
  };
  mean = 3.0;
  lognc = 2.11768;
  variance = [ 1 ];
  R = 1.0;
  tolerance = 0.5;
},
{
  class = "epdf_harness";
  epdf = {
    class = "enorm<ldmat>";
    mu = 7.0;
    R = 1.0;
    rv : 
    {
      class = "RV";
      names = ( "b" );
    };
  };
  mean = 7.0;
  variance = [ 1 ];
  R = 1.0;
},
{
  class = "epdf_harness";
  epdf = {
    class = "enorm<ldmat>";
    mu = -3.0;
    R = 2.0;
    rv : 
    {
      class = "RV";
      names = ( "a" );
    };
  };
  mean = -3.0;
  variance = [ 2 ];
},
{
  class = "epdf_harness";
  epdf = {
    class = "enorm<chmat>";
    mu = ( "matrix", 1, 2, [ 0.0, 2.0 ] );
    R = ( "matrix", 2, 2, [ 2.0, 0.0, 0.0, 0.5 ] );
    rv : 
    {
      class = "RV";
      names = ( "a", "b" );
    };
  };
  mean = [ 0.0, 2.0 ];
  variance = [ 2.0, 0.5 ];
  R = ( "matrix", 2, 2, [ 2.0, 0.0, 0.0, 0.5 ] );
  tolerance = 0.5;
} );