Fitting statistics for "Tutorial_5" on per-dataset basis: ----------------- Fitting results for "Series_1-1" with model "U-model" Fitting method: simplex Data length: 60 rows R-square: 9.768266e-01 Sum of squares of residuals: 3.037748e-05 Parameters [ 95% confidence interval ] ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +1.000000e-03 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +1.000000e-06 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (3) log10(K_A) = +6.007956e+00 [ 5.885e+00 6.161e+00 ] ( 1.000e+00 1.000e+01 ) { 1.000e+00 1.000e+01 } (4) k_2_A = +1.928793e+02 [ 1.754e+02 2.069e+02 ] ( 1.000e-01 3.000e+03 ) { 1.000e-01 3.000e+03 } (5) w0_1 = -3.000000e+02 [ 0.000e+00 0.000e+00 ] ( -1.000e+03 1.500e+03 ) { -1.000e+03 1.500e+03 } (6) w0_2 = +8.002024e+02 [ 7.977e+02 8.034e+02 ] ( -1.000e+03 1.500e+03 ) { -1.000e+03 1.500e+03 } (7) FWHH_1 = +1.000000e+02 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 5.000e+02 ) { 1.000e+01 5.000e+02 } (8) FWHH_2 = +1.000000e+02 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 5.000e+02 ) { 1.000e+01 5.000e+02 } (9) ScaleFactor = +1.000000e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e-01 1.000e+01 ) { 1.000e-01 1.000e+01 } Fitting results for "Series_1-2" with model "U-model" Fitting method: simplex Data length: 60 rows R-square: 9.129335e-01 Sum of squares of residuals: 3.337359e-05 Parameters [ 95% confidence interval ] ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +1.000000e-03 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +2.000000e-01 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (3) log10(K_A) = +6.007956e+00 [ 5.885e+00 6.161e+00 ] ( 1.000e+00 1.000e+01 ) { 1.000e+00 1.000e+01 } (4) k_2_A = +1.928793e+02 [ 1.754e+02 2.069e+02 ] ( 1.000e-01 3.000e+03 ) { 1.000e-01 3.000e+03 } (5) w0_1 = -3.000000e+02 [ 0.000e+00 0.000e+00 ] ( -1.000e+03 1.500e+03 ) { -1.000e+03 1.500e+03 } (6) w0_2 = +8.002024e+02 [ 7.977e+02 8.034e+02 ] ( -1.000e+03 1.500e+03 ) { -1.000e+03 1.500e+03 } (7) FWHH_1 = +1.000000e+02 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 5.000e+02 ) { 1.000e+01 5.000e+02 } (8) FWHH_2 = +1.000000e+02 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 5.000e+02 ) { 1.000e+01 5.000e+02 } (9) ScaleFactor = +1.000000e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e-01 1.000e+01 ) { 1.000e-01 1.000e+01 } Fitting results for "Series_1-3" with model "U-model" Fitting method: simplex Data length: 60 rows R-square: 8.130088e-01 Sum of squares of residuals: 2.288411e-05 Parameters [ 95% confidence interval ] ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +1.000000e-03 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +4.000000e-01 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (3) log10(K_A) = +6.007956e+00 [ 5.885e+00 6.161e+00 ] ( 1.000e+00 1.000e+01 ) { 1.000e+00 1.000e+01 } (4) k_2_A = +1.928793e+02 [ 1.754e+02 2.069e+02 ] ( 1.000e-01 3.000e+03 ) { 1.000e-01 3.000e+03 } (5) w0_1 = -3.000000e+02 [ 0.000e+00 0.000e+00 ] ( -1.000e+03 1.500e+03 ) { -1.000e+03 1.500e+03 } (6) w0_2 = +8.002024e+02 [ 7.977e+02 8.034e+02 ] ( -1.000e+03 1.500e+03 ) { -1.000e+03 1.500e+03 } (7) FWHH_1 = +1.000000e+02 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 5.000e+02 ) { 1.000e+01 5.000e+02 } (8) FWHH_2 = +1.000000e+02 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 5.000e+02 ) { 1.000e+01 5.000e+02 } (9) ScaleFactor = +1.000000e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e-01 1.000e+01 ) { 1.000e-01 1.000e+01 } Fitting results for "Series_1-4" with model "U-model" Fitting method: simplex Data length: 60 rows R-square: 6.841489e-01 Sum of squares of residuals: 3.012846e-05 Parameters [ 95% confidence interval ] ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +1.000000e-03 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +6.000000e-01 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (3) log10(K_A) = +6.007956e+00 [ 5.885e+00 6.161e+00 ] ( 1.000e+00 1.000e+01 ) { 1.000e+00 1.000e+01 } (4) k_2_A = +1.928793e+02 [ 1.754e+02 2.069e+02 ] ( 1.000e-01 3.000e+03 ) { 1.000e-01 3.000e+03 } (5) w0_1 = -3.000000e+02 [ 0.000e+00 0.000e+00 ] ( -1.000e+03 1.500e+03 ) { -1.000e+03 1.500e+03 } (6) w0_2 = +8.002024e+02 [ 7.977e+02 8.034e+02 ] ( -1.000e+03 1.500e+03 ) { -1.000e+03 1.500e+03 } (7) FWHH_1 = +1.000000e+02 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 5.000e+02 ) { 1.000e+01 5.000e+02 } (8) FWHH_2 = +1.000000e+02 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 5.000e+02 ) { 1.000e+01 5.000e+02 } (9) ScaleFactor = +1.000000e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e-01 1.000e+01 ) { 1.000e-01 1.000e+01 } Fitting results for "Series_1-5" with model "U-model" Fitting method: simplex Data length: 60 rows R-square: 9.052939e-01 Sum of squares of residuals: 2.617849e-05 Parameters [ 95% confidence interval ] ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +1.000000e-03 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +8.000000e-01 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (3) log10(K_A) = +6.007956e+00 [ 5.885e+00 6.161e+00 ] ( 1.000e+00 1.000e+01 ) { 1.000e+00 1.000e+01 } (4) k_2_A = +1.928793e+02 [ 1.754e+02 2.069e+02 ] ( 1.000e-01 3.000e+03 ) { 1.000e-01 3.000e+03 } (5) w0_1 = -3.000000e+02 [ 0.000e+00 0.000e+00 ] ( -1.000e+03 1.500e+03 ) { -1.000e+03 1.500e+03 } (6) w0_2 = +8.002024e+02 [ 7.977e+02 8.034e+02 ] ( -1.000e+03 1.500e+03 ) { -1.000e+03 1.500e+03 } (7) FWHH_1 = +1.000000e+02 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 5.000e+02 ) { 1.000e+01 5.000e+02 } (8) FWHH_2 = +1.000000e+02 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 5.000e+02 ) { 1.000e+01 5.000e+02 } (9) ScaleFactor = +1.000000e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e-01 1.000e+01 ) { 1.000e-01 1.000e+01 } Fitting results for "Series_1-6" with model "U-model" Fitting method: simplex Data length: 60 rows R-square: 9.804632e-01 Sum of squares of residuals: 2.364159e-05 Parameters [ 95% confidence interval ] ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +1.000000e-03 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +1.000000e+00 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (3) log10(K_A) = +6.007956e+00 [ 5.885e+00 6.161e+00 ] ( 1.000e+00 1.000e+01 ) { 1.000e+00 1.000e+01 } (4) k_2_A = +1.928793e+02 [ 1.754e+02 2.069e+02 ] ( 1.000e-01 3.000e+03 ) { 1.000e-01 3.000e+03 } (5) w0_1 = -3.000000e+02 [ 0.000e+00 0.000e+00 ] ( -1.000e+03 1.500e+03 ) { -1.000e+03 1.500e+03 } (6) w0_2 = +8.002024e+02 [ 7.977e+02 8.034e+02 ] ( -1.000e+03 1.500e+03 ) { -1.000e+03 1.500e+03 } (7) FWHH_1 = +1.000000e+02 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 5.000e+02 ) { 1.000e+01 5.000e+02 } (8) FWHH_2 = +1.000000e+02 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 5.000e+02 ) { 1.000e+01 5.000e+02 } (9) ScaleFactor = +1.000000e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e-01 1.000e+01 ) { 1.000e-01 1.000e+01 } Fitting results for "Series_1-7" with model "U-model" Fitting method: simplex Data length: 60 rows R-square: 9.746403e-01 Sum of squares of residuals: 3.137451e-05 Parameters [ 95% confidence interval ] ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +1.000000e-03 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +1.200000e+00 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (3) log10(K_A) = +6.007956e+00 [ 5.885e+00 6.161e+00 ] ( 1.000e+00 1.000e+01 ) { 1.000e+00 1.000e+01 } (4) k_2_A = +1.928793e+02 [ 1.754e+02 2.069e+02 ] ( 1.000e-01 3.000e+03 ) { 1.000e-01 3.000e+03 } (5) w0_1 = -3.000000e+02 [ 0.000e+00 0.000e+00 ] ( -1.000e+03 1.500e+03 ) { -1.000e+03 1.500e+03 } (6) w0_2 = +8.002024e+02 [ 7.977e+02 8.034e+02 ] ( -1.000e+03 1.500e+03 ) { -1.000e+03 1.500e+03 } (7) FWHH_1 = +1.000000e+02 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 5.000e+02 ) { 1.000e+01 5.000e+02 } (8) FWHH_2 = +1.000000e+02 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 5.000e+02 ) { 1.000e+01 5.000e+02 } (9) ScaleFactor = +1.000000e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e-01 1.000e+01 ) { 1.000e-01 1.000e+01 } Fitting results for "Series_2-1" with model "U-model" Fitting method: simplex Data length: 20 rows R-square: 9.930709e-01 Sum of squares of residuals: 9.258494e-06 Parameters [ 95% confidence interval ] ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +1.000000e-03 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +1.000000e-06 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (3) log10(K_A) = +6.007956e+00 [ 5.885e+00 6.161e+00 ] ( 1.000e+00 1.000e+01 ) { 1.000e+00 1.000e+01 } (4) k_2_A = +1.928793e+02 [ 1.754e+02 2.069e+02 ] ( 1.000e-01 3.000e+03 ) { 1.000e-01 3.000e+03 } (5) w0_1 = +1.700000e+03 [ 0.000e+00 0.000e+00 ] ( 1.500e+03 2.000e+03 ) { 1.500e+03 2.000e+03 } (6) w0_2 = +1.799248e+03 [ 1.799e+03 1.800e+03 ] ( 1.500e+03 2.000e+03 ) { 1.500e+03 2.000e+03 } (7) FWHH_1 = +1.000000e+02 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 5.000e+02 ) { 1.000e+01 5.000e+02 } (8) FWHH_2 = +1.000000e+02 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 5.000e+02 ) { 1.000e+01 5.000e+02 } (9) ScaleFactor = +1.000000e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e-01 1.000e+01 ) { 1.000e-01 1.000e+01 } Fitting results for "Series_2-2" with model "U-model" Fitting method: simplex Data length: 20 rows R-square: 9.915416e-01 Sum of squares of residuals: 9.460074e-06 Parameters [ 95% confidence interval ] ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +1.000000e-03 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +2.000000e-01 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (3) log10(K_A) = +6.007956e+00 [ 5.885e+00 6.161e+00 ] ( 1.000e+00 1.000e+01 ) { 1.000e+00 1.000e+01 } (4) k_2_A = +1.928793e+02 [ 1.754e+02 2.069e+02 ] ( 1.000e-01 3.000e+03 ) { 1.000e-01 3.000e+03 } (5) w0_1 = +1.700000e+03 [ 0.000e+00 0.000e+00 ] ( 1.500e+03 2.000e+03 ) { 1.500e+03 2.000e+03 } (6) w0_2 = +1.799248e+03 [ 1.799e+03 1.800e+03 ] ( 1.500e+03 2.000e+03 ) { 1.500e+03 2.000e+03 } (7) FWHH_1 = +1.000000e+02 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 5.000e+02 ) { 1.000e+01 5.000e+02 } (8) FWHH_2 = +1.000000e+02 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 5.000e+02 ) { 1.000e+01 5.000e+02 } (9) ScaleFactor = +1.000000e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e-01 1.000e+01 ) { 1.000e-01 1.000e+01 } Fitting results for "Series_2-3" with model "U-model" Fitting method: simplex Data length: 20 rows R-square: 9.800044e-01 Sum of squares of residuals: 2.116747e-05 Parameters [ 95% confidence interval ] ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +1.000000e-03 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +4.000000e-01 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (3) log10(K_A) = +6.007956e+00 [ 5.885e+00 6.161e+00 ] ( 1.000e+00 1.000e+01 ) { 1.000e+00 1.000e+01 } (4) k_2_A = +1.928793e+02 [ 1.754e+02 2.069e+02 ] ( 1.000e-01 3.000e+03 ) { 1.000e-01 3.000e+03 } (5) w0_1 = +1.700000e+03 [ 0.000e+00 0.000e+00 ] ( 1.500e+03 2.000e+03 ) { 1.500e+03 2.000e+03 } (6) w0_2 = +1.799248e+03 [ 1.799e+03 1.800e+03 ] ( 1.500e+03 2.000e+03 ) { 1.500e+03 2.000e+03 } (7) FWHH_1 = +1.000000e+02 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 5.000e+02 ) { 1.000e+01 5.000e+02 } (8) FWHH_2 = +1.000000e+02 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 5.000e+02 ) { 1.000e+01 5.000e+02 } (9) ScaleFactor = +1.000000e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e-01 1.000e+01 ) { 1.000e-01 1.000e+01 } Fitting results for "Series_2-4" with model "U-model" Fitting method: simplex Data length: 20 rows R-square: 9.941771e-01 Sum of squares of residuals: 6.242512e-06 Parameters [ 95% confidence interval ] ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +1.000000e-03 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +6.000000e-01 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (3) log10(K_A) = +6.007956e+00 [ 5.885e+00 6.161e+00 ] ( 1.000e+00 1.000e+01 ) { 1.000e+00 1.000e+01 } (4) k_2_A = +1.928793e+02 [ 1.754e+02 2.069e+02 ] ( 1.000e-01 3.000e+03 ) { 1.000e-01 3.000e+03 } (5) w0_1 = +1.700000e+03 [ 0.000e+00 0.000e+00 ] ( 1.500e+03 2.000e+03 ) { 1.500e+03 2.000e+03 } (6) w0_2 = +1.799248e+03 [ 1.799e+03 1.800e+03 ] ( 1.500e+03 2.000e+03 ) { 1.500e+03 2.000e+03 } (7) FWHH_1 = +1.000000e+02 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 5.000e+02 ) { 1.000e+01 5.000e+02 } (8) FWHH_2 = +1.000000e+02 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 5.000e+02 ) { 1.000e+01 5.000e+02 } (9) ScaleFactor = +1.000000e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e-01 1.000e+01 ) { 1.000e-01 1.000e+01 } Fitting results for "Series_2-5" with model "U-model" Fitting method: simplex Data length: 20 rows R-square: 9.963694e-01 Sum of squares of residuals: 4.466323e-06 Parameters [ 95% confidence interval ] ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +1.000000e-03 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +8.000000e-01 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (3) log10(K_A) = +6.007956e+00 [ 5.885e+00 6.161e+00 ] ( 1.000e+00 1.000e+01 ) { 1.000e+00 1.000e+01 } (4) k_2_A = +1.928793e+02 [ 1.754e+02 2.069e+02 ] ( 1.000e-01 3.000e+03 ) { 1.000e-01 3.000e+03 } (5) w0_1 = +1.700000e+03 [ 0.000e+00 0.000e+00 ] ( 1.500e+03 2.000e+03 ) { 1.500e+03 2.000e+03 } (6) w0_2 = +1.799248e+03 [ 1.799e+03 1.800e+03 ] ( 1.500e+03 2.000e+03 ) { 1.500e+03 2.000e+03 } (7) FWHH_1 = +1.000000e+02 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 5.000e+02 ) { 1.000e+01 5.000e+02 } (8) FWHH_2 = +1.000000e+02 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 5.000e+02 ) { 1.000e+01 5.000e+02 } (9) ScaleFactor = +1.000000e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e-01 1.000e+01 ) { 1.000e-01 1.000e+01 } Fitting results for "Series_2-6" with model "U-model" Fitting method: simplex Data length: 20 rows R-square: 9.917764e-01 Sum of squares of residuals: 1.074381e-05 Parameters [ 95% confidence interval ] ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +1.000000e-03 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +1.000000e+00 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (3) log10(K_A) = +6.007956e+00 [ 5.885e+00 6.161e+00 ] ( 1.000e+00 1.000e+01 ) { 1.000e+00 1.000e+01 } (4) k_2_A = +1.928793e+02 [ 1.754e+02 2.069e+02 ] ( 1.000e-01 3.000e+03 ) { 1.000e-01 3.000e+03 } (5) w0_1 = +1.700000e+03 [ 0.000e+00 0.000e+00 ] ( 1.500e+03 2.000e+03 ) { 1.500e+03 2.000e+03 } (6) w0_2 = +1.799248e+03 [ 1.799e+03 1.800e+03 ] ( 1.500e+03 2.000e+03 ) { 1.500e+03 2.000e+03 } (7) FWHH_1 = +1.000000e+02 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 5.000e+02 ) { 1.000e+01 5.000e+02 } (8) FWHH_2 = +1.000000e+02 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 5.000e+02 ) { 1.000e+01 5.000e+02 } (9) ScaleFactor = +1.000000e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e-01 1.000e+01 ) { 1.000e-01 1.000e+01 } Fitting results for "Series_2-7" with model "U-model" Fitting method: simplex Data length: 20 rows R-square: 9.931429e-01 Sum of squares of residuals: 8.856498e-06 Parameters [ 95% confidence interval ] ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +1.000000e-03 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +1.200000e+00 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (3) log10(K_A) = +6.007956e+00 [ 5.885e+00 6.161e+00 ] ( 1.000e+00 1.000e+01 ) { 1.000e+00 1.000e+01 } (4) k_2_A = +1.928793e+02 [ 1.754e+02 2.069e+02 ] ( 1.000e-01 3.000e+03 ) { 1.000e-01 3.000e+03 } (5) w0_1 = +1.700000e+03 [ 0.000e+00 0.000e+00 ] ( 1.500e+03 2.000e+03 ) { 1.500e+03 2.000e+03 } (6) w0_2 = +1.799248e+03 [ 1.799e+03 1.800e+03 ] ( 1.500e+03 2.000e+03 ) { 1.500e+03 2.000e+03 } (7) FWHH_1 = +1.000000e+02 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 5.000e+02 ) { 1.000e+01 5.000e+02 } (8) FWHH_2 = +1.000000e+02 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 5.000e+02 ) { 1.000e+01 5.000e+02 } (9) ScaleFactor = +1.000000e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e-01 1.000e+01 ) { 1.000e-01 1.000e+01 }