Fitting statistics for "Tutorial_5" on per-dataset basis: ----------------- Fitting results for "Series_1-1" with model "U-model" Fitting method: GlobalSearch Data length: 60 rows R-square: 9.768266e-01 Sum of squares of residuals: 3.037746e-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) = +4.976519e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e+00 1.000e+01 ) { 1.000e+00 1.000e+01 } (4) k_2_A = +2.242349e+02 [ 0.000e+00 0.000e+00 ] ( 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 = +8.561573e+02 [ 0.000e+00 0.000e+00 ] ( -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: GlobalSearch Data length: 60 rows R-square: 9.081981e-01 Sum of squares of residuals: 3.518872e-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) = +4.976519e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e+00 1.000e+01 ) { 1.000e+00 1.000e+01 } (4) k_2_A = +2.242349e+02 [ 0.000e+00 0.000e+00 ] ( 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 = +8.561573e+02 [ 0.000e+00 0.000e+00 ] ( -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: GlobalSearch Data length: 60 rows R-square: 7.977582e-01 Sum of squares of residuals: 2.475050e-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) = +4.976519e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e+00 1.000e+01 ) { 1.000e+00 1.000e+01 } (4) k_2_A = +2.242349e+02 [ 0.000e+00 0.000e+00 ] ( 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 = +8.561573e+02 [ 0.000e+00 0.000e+00 ] ( -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: GlobalSearch Data length: 60 rows R-square: 6.715930e-01 Sum of squares of residuals: 3.132615e-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) = +4.976519e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e+00 1.000e+01 ) { 1.000e+00 1.000e+01 } (4) k_2_A = +2.242349e+02 [ 0.000e+00 0.000e+00 ] ( 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 = +8.561573e+02 [ 0.000e+00 0.000e+00 ] ( -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: GlobalSearch Data length: 60 rows R-square: 8.939789e-01 Sum of squares of residuals: 2.930615e-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) = +4.976519e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e+00 1.000e+01 ) { 1.000e+00 1.000e+01 } (4) k_2_A = +2.242349e+02 [ 0.000e+00 0.000e+00 ] ( 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 = +8.561573e+02 [ 0.000e+00 0.000e+00 ] ( -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: GlobalSearch Data length: 60 rows R-square: 8.664876e-01 Sum of squares of residuals: 1.615643e-04 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) = +4.976519e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e+00 1.000e+01 ) { 1.000e+00 1.000e+01 } (4) k_2_A = +2.242349e+02 [ 0.000e+00 0.000e+00 ] ( 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 = +8.561573e+02 [ 0.000e+00 0.000e+00 ] ( -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: GlobalSearch Data length: 60 rows R-square: 9.199331e-01 Sum of squares of residuals: 9.905695e-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) = +4.976519e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e+00 1.000e+01 ) { 1.000e+00 1.000e+01 } (4) k_2_A = +2.242349e+02 [ 0.000e+00 0.000e+00 ] ( 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 = +8.561573e+02 [ 0.000e+00 0.000e+00 ] ( -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: GlobalSearch Data length: 20 rows R-square: 9.930709e-01 Sum of squares of residuals: 9.258498e-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) = +4.976519e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e+00 1.000e+01 ) { 1.000e+00 1.000e+01 } (4) k_2_A = +2.242349e+02 [ 0.000e+00 0.000e+00 ] ( 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 = +1.804079e+03 [ 0.000e+00 0.000e+00 ] ( 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: GlobalSearch Data length: 20 rows R-square: 9.907021e-01 Sum of squares of residuals: 1.039896e-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) = +4.976519e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e+00 1.000e+01 ) { 1.000e+00 1.000e+01 } (4) k_2_A = +2.242349e+02 [ 0.000e+00 0.000e+00 ] ( 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 = +1.804079e+03 [ 0.000e+00 0.000e+00 ] ( 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: GlobalSearch Data length: 20 rows R-square: 9.800418e-01 Sum of squares of residuals: 2.112786e-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) = +4.976519e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e+00 1.000e+01 ) { 1.000e+00 1.000e+01 } (4) k_2_A = +2.242349e+02 [ 0.000e+00 0.000e+00 ] ( 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 = +1.804079e+03 [ 0.000e+00 0.000e+00 ] ( 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: GlobalSearch Data length: 20 rows R-square: 9.933878e-01 Sum of squares of residuals: 7.088789e-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) = +4.976519e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e+00 1.000e+01 ) { 1.000e+00 1.000e+01 } (4) k_2_A = +2.242349e+02 [ 0.000e+00 0.000e+00 ] ( 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 = +1.804079e+03 [ 0.000e+00 0.000e+00 ] ( 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: GlobalSearch Data length: 20 rows R-square: 9.959737e-01 Sum of squares of residuals: 4.953110e-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) = +4.976519e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e+00 1.000e+01 ) { 1.000e+00 1.000e+01 } (4) k_2_A = +2.242349e+02 [ 0.000e+00 0.000e+00 ] ( 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 = +1.804079e+03 [ 0.000e+00 0.000e+00 ] ( 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: GlobalSearch Data length: 20 rows R-square: 9.887020e-01 Sum of squares of residuals: 1.476039e-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) = +4.976519e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e+00 1.000e+01 ) { 1.000e+00 1.000e+01 } (4) k_2_A = +2.242349e+02 [ 0.000e+00 0.000e+00 ] ( 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 = +1.804079e+03 [ 0.000e+00 0.000e+00 ] ( 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: GlobalSearch Data length: 20 rows R-square: 9.926755e-01 Sum of squares of residuals: 9.460140e-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) = +4.976519e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e+00 1.000e+01 ) { 1.000e+00 1.000e+01 } (4) k_2_A = +2.242349e+02 [ 0.000e+00 0.000e+00 ] ( 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 = +1.804079e+03 [ 0.000e+00 0.000e+00 ] ( 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 }