File: t_NonStationaryCovarianceModelFactory_std.expout

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Covariance C( 0 ,  0 ) :   evaluation =  1.00821  model =  1
Covariance C( 0 ,  0.1 ) :   evaluation =  0.90204  model =  0.904837
Covariance C( 0 ,  0.2 ) :   evaluation =  0.816878  model =  0.818731
Covariance C( 0 ,  0.3 ) :   evaluation =  0.737542  model =  0.740818
Covariance C( 0 ,  0.4 ) :   evaluation =  0.672768  model =  0.67032
Covariance C( 0 ,  0.5 ) :   evaluation =  0.606947  model =  0.606531
Covariance C( 0 ,  0.6 ) :   evaluation =  0.5532  model =  0.548812
Covariance C( 0 ,  0.7 ) :   evaluation =  0.50249  model =  0.496585
Covariance C( 0 ,  0.8 ) :   evaluation =  0.459609  model =  0.449329
Covariance C( 0 ,  0.9 ) :   evaluation =  0.407241  model =  0.40657
Covariance C( 0.1 ,  0 ) :   evaluation =  0.90204  model =  0.904837
Covariance C( 0.1 ,  0.1 ) :   evaluation =  0.989988  model =  1
Covariance C( 0.1 ,  0.2 ) :   evaluation =  0.894201  model =  0.904837
Covariance C( 0.1 ,  0.3 ) :   evaluation =  0.810409  model =  0.818731
Covariance C( 0.1 ,  0.4 ) :   evaluation =  0.737446  model =  0.740818
Covariance C( 0.1 ,  0.5 ) :   evaluation =  0.665085  model =  0.67032
Covariance C( 0.1 ,  0.6 ) :   evaluation =  0.606272  model =  0.606531
Covariance C( 0.1 ,  0.7 ) :   evaluation =  0.548287  model =  0.548812
Covariance C( 0.1 ,  0.8 ) :   evaluation =  0.500625  model =  0.496585
Covariance C( 0.1 ,  0.9 ) :   evaluation =  0.448074  model =  0.449329
Covariance C( 0.2 ,  0 ) :   evaluation =  0.816878  model =  0.818731
Covariance C( 0.2 ,  0.1 ) :   evaluation =  0.894201  model =  0.904837
Covariance C( 0.2 ,  0.2 ) :   evaluation =  0.990525  model =  1
Covariance C( 0.2 ,  0.3 ) :   evaluation =  0.897657  model =  0.904837
Covariance C( 0.2 ,  0.4 ) :   evaluation =  0.812456  model =  0.818731
Covariance C( 0.2 ,  0.5 ) :   evaluation =  0.729266  model =  0.740818
Covariance C( 0.2 ,  0.6 ) :   evaluation =  0.665659  model =  0.67032
Covariance C( 0.2 ,  0.7 ) :   evaluation =  0.600574  model =  0.606531
Covariance C( 0.2 ,  0.8 ) :   evaluation =  0.545544  model =  0.548812
Covariance C( 0.2 ,  0.9 ) :   evaluation =  0.490332  model =  0.496585
Covariance C( 0.3 ,  0 ) :   evaluation =  0.737542  model =  0.740818
Covariance C( 0.3 ,  0.1 ) :   evaluation =  0.810409  model =  0.818731
Covariance C( 0.3 ,  0.2 ) :   evaluation =  0.897657  model =  0.904837
Covariance C( 0.3 ,  0.3 ) :   evaluation =  0.995372  model =  1
Covariance C( 0.3 ,  0.4 ) :   evaluation =  0.899391  model =  0.904837
Covariance C( 0.3 ,  0.5 ) :   evaluation =  0.810492  model =  0.818731
Covariance C( 0.3 ,  0.6 ) :   evaluation =  0.738522  model =  0.740818
Covariance C( 0.3 ,  0.7 ) :   evaluation =  0.666768  model =  0.67032
Covariance C( 0.3 ,  0.8 ) :   evaluation =  0.606792  model =  0.606531
Covariance C( 0.3 ,  0.9 ) :   evaluation =  0.545949  model =  0.548812
Covariance C( 0.4 ,  0 ) :   evaluation =  0.672768  model =  0.67032
Covariance C( 0.4 ,  0.1 ) :   evaluation =  0.737446  model =  0.740818
Covariance C( 0.4 ,  0.2 ) :   evaluation =  0.812456  model =  0.818731
Covariance C( 0.4 ,  0.3 ) :   evaluation =  0.899391  model =  0.904837
Covariance C( 0.4 ,  0.4 ) :   evaluation =  0.996354  model =  1
Covariance C( 0.4 ,  0.5 ) :   evaluation =  0.90106  model =  0.904837
Covariance C( 0.4 ,  0.6 ) :   evaluation =  0.820803  model =  0.818731
Covariance C( 0.4 ,  0.7 ) :   evaluation =  0.741337  model =  0.740818
Covariance C( 0.4 ,  0.8 ) :   evaluation =  0.674105  model =  0.67032
Covariance C( 0.4 ,  0.9 ) :   evaluation =  0.606897  model =  0.606531
Covariance C( 0.5 ,  0 ) :   evaluation =  0.606947  model =  0.606531
Covariance C( 0.5 ,  0.1 ) :   evaluation =  0.665085  model =  0.67032
Covariance C( 0.5 ,  0.2 ) :   evaluation =  0.729266  model =  0.740818
Covariance C( 0.5 ,  0.3 ) :   evaluation =  0.810492  model =  0.818731
Covariance C( 0.5 ,  0.4 ) :   evaluation =  0.90106  model =  0.904837
Covariance C( 0.5 ,  0.5 ) :   evaluation =  1.00283  model =  1
Covariance C( 0.5 ,  0.6 ) :   evaluation =  0.91064  model =  0.904837
Covariance C( 0.5 ,  0.7 ) :   evaluation =  0.826031  model =  0.818731
Covariance C( 0.5 ,  0.8 ) :   evaluation =  0.74871  model =  0.740818
Covariance C( 0.5 ,  0.9 ) :   evaluation =  0.675382  model =  0.67032
Covariance C( 0.6 ,  0 ) :   evaluation =  0.5532  model =  0.548812
Covariance C( 0.6 ,  0.1 ) :   evaluation =  0.606272  model =  0.606531
Covariance C( 0.6 ,  0.2 ) :   evaluation =  0.665659  model =  0.67032
Covariance C( 0.6 ,  0.3 ) :   evaluation =  0.738522  model =  0.740818
Covariance C( 0.6 ,  0.4 ) :   evaluation =  0.820803  model =  0.818731
Covariance C( 0.6 ,  0.5 ) :   evaluation =  0.91064  model =  0.904837
Covariance C( 0.6 ,  0.6 ) :   evaluation =  1.00501  model =  1
Covariance C( 0.6 ,  0.7 ) :   evaluation =  0.91108  model =  0.904837
Covariance C( 0.6 ,  0.8 ) :   evaluation =  0.828014  model =  0.818731
Covariance C( 0.6 ,  0.9 ) :   evaluation =  0.746208  model =  0.740818
Covariance C( 0.7 ,  0 ) :   evaluation =  0.50249  model =  0.496585
Covariance C( 0.7 ,  0.1 ) :   evaluation =  0.548287  model =  0.548812
Covariance C( 0.7 ,  0.2 ) :   evaluation =  0.600574  model =  0.606531
Covariance C( 0.7 ,  0.3 ) :   evaluation =  0.666768  model =  0.67032
Covariance C( 0.7 ,  0.4 ) :   evaluation =  0.741337  model =  0.740818
Covariance C( 0.7 ,  0.5 ) :   evaluation =  0.826031  model =  0.818731
Covariance C( 0.7 ,  0.6 ) :   evaluation =  0.91108  model =  0.904837
Covariance C( 0.7 ,  0.7 ) :   evaluation =  1.00954  model =  1
Covariance C( 0.7 ,  0.8 ) :   evaluation =  0.915118  model =  0.904837
Covariance C( 0.7 ,  0.9 ) :   evaluation =  0.823575  model =  0.818731
Covariance C( 0.8 ,  0 ) :   evaluation =  0.459609  model =  0.449329
Covariance C( 0.8 ,  0.1 ) :   evaluation =  0.500625  model =  0.496585
Covariance C( 0.8 ,  0.2 ) :   evaluation =  0.545544  model =  0.548812
Covariance C( 0.8 ,  0.3 ) :   evaluation =  0.606792  model =  0.606531
Covariance C( 0.8 ,  0.4 ) :   evaluation =  0.674105  model =  0.67032
Covariance C( 0.8 ,  0.5 ) :   evaluation =  0.74871  model =  0.740818
Covariance C( 0.8 ,  0.6 ) :   evaluation =  0.828014  model =  0.818731
Covariance C( 0.8 ,  0.7 ) :   evaluation =  0.915118  model =  0.904837
Covariance C( 0.8 ,  0.8 ) :   evaluation =  1.00826  model =  1
Covariance C( 0.8 ,  0.9 ) :   evaluation =  0.911118  model =  0.904837
Covariance C( 0.9 ,  0 ) :   evaluation =  0.407241  model =  0.40657
Covariance C( 0.9 ,  0.1 ) :   evaluation =  0.448074  model =  0.449329
Covariance C( 0.9 ,  0.2 ) :   evaluation =  0.490332  model =  0.496585
Covariance C( 0.9 ,  0.3 ) :   evaluation =  0.545949  model =  0.548812
Covariance C( 0.9 ,  0.4 ) :   evaluation =  0.606897  model =  0.606531
Covariance C( 0.9 ,  0.5 ) :   evaluation =  0.675382  model =  0.67032
Covariance C( 0.9 ,  0.6 ) :   evaluation =  0.746208  model =  0.740818
Covariance C( 0.9 ,  0.7 ) :   evaluation =  0.823575  model =  0.818731
Covariance C( 0.9 ,  0.8 ) :   evaluation =  0.911118  model =  0.904837
Covariance C( 0.9 ,  0.9 ) :   evaluation =  1.00667  model =  1