Fitting statistics for "Tutorial_5" on per-dataset basis: ----------------- Fitting results for "Series_1-1" with model "U-model" Fitting method: DirectSearch Data length: 60 rows R-square: 9.931347e-01 Sum of squares of residuals: 1.503211e-02 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) = +5.188477e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e+00 1.000e+01 ) { 1.000e+00 1.000e+01 } (4) k_2_A = +2.740312e+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 = +8.320000e+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: DirectSearch Data length: 60 rows R-square: 9.570739e-01 Sum of squares of residuals: 2.758501e-02 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) = +5.188477e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e+00 1.000e+01 ) { 1.000e+00 1.000e+01 } (4) k_2_A = +2.740312e+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 = +8.320000e+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: DirectSearch Data length: 60 rows R-square: 8.434556e-01 Sum of squares of residuals: 2.774815e-02 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) = +5.188477e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e+00 1.000e+01 ) { 1.000e+00 1.000e+01 } (4) k_2_A = +2.740312e+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 = +8.320000e+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: DirectSearch Data length: 60 rows R-square: 7.987311e-01 Sum of squares of residuals: 3.253772e-02 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) = +5.188477e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e+00 1.000e+01 ) { 1.000e+00 1.000e+01 } (4) k_2_A = +2.740312e+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 = +8.320000e+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: DirectSearch Data length: 60 rows R-square: 9.505110e-01 Sum of squares of residuals: 2.297328e-02 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) = +5.188477e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e+00 1.000e+01 ) { 1.000e+00 1.000e+01 } (4) k_2_A = +2.740312e+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 = +8.320000e+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: DirectSearch Data length: 60 rows R-square: 9.276032e-01 Sum of squares of residuals: 1.432958e-01 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) = +5.188477e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e+00 1.000e+01 ) { 1.000e+00 1.000e+01 } (4) k_2_A = +2.740312e+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 = +8.320000e+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: DirectSearch Data length: 60 rows R-square: 9.780665e-01 Sum of squares of residuals: 4.646664e-02 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) = +5.188477e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e+00 1.000e+01 ) { 1.000e+00 1.000e+01 } (4) k_2_A = +2.740312e+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 = +8.320000e+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: DirectSearch Data length: 20 rows R-square: 2.605554e-01 Sum of squares of residuals: 1.566417e+00 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) = +5.188477e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e+00 1.000e+01 ) { 1.000e+00 1.000e+01 } (4) k_2_A = +2.740312e+02 [ 0.000e+00 0.000e+00 ] ( 1.000e-01 3.000e+03 ) { 1.000e-01 3.000e+03 } (5) w0_1 = +1.650000e+03 [ 0.000e+00 0.000e+00 ] ( 1.500e+03 2.000e+03 ) { 1.500e+03 2.000e+03 } (6) w0_2 = +1.814750e+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: DirectSearch Data length: 20 rows R-square: 6.396691e-01 Sum of squares of residuals: 6.561741e-01 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) = +5.188477e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e+00 1.000e+01 ) { 1.000e+00 1.000e+01 } (4) k_2_A = +2.740312e+02 [ 0.000e+00 0.000e+00 ] ( 1.000e-01 3.000e+03 ) { 1.000e-01 3.000e+03 } (5) w0_1 = +1.650000e+03 [ 0.000e+00 0.000e+00 ] ( 1.500e+03 2.000e+03 ) { 1.500e+03 2.000e+03 } (6) w0_2 = +1.814750e+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: DirectSearch Data length: 20 rows R-square: 8.366923e-01 Sum of squares of residuals: 2.800741e-01 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) = +5.188477e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e+00 1.000e+01 ) { 1.000e+00 1.000e+01 } (4) k_2_A = +2.740312e+02 [ 0.000e+00 0.000e+00 ] ( 1.000e-01 3.000e+03 ) { 1.000e-01 3.000e+03 } (5) w0_1 = +1.650000e+03 [ 0.000e+00 0.000e+00 ] ( 1.500e+03 2.000e+03 ) { 1.500e+03 2.000e+03 } (6) w0_2 = +1.814750e+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: DirectSearch Data length: 20 rows R-square: 9.373126e-01 Sum of squares of residuals: 1.199116e-01 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) = +5.188477e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e+00 1.000e+01 ) { 1.000e+00 1.000e+01 } (4) k_2_A = +2.740312e+02 [ 0.000e+00 0.000e+00 ] ( 1.000e-01 3.000e+03 ) { 1.000e-01 3.000e+03 } (5) w0_1 = +1.650000e+03 [ 0.000e+00 0.000e+00 ] ( 1.500e+03 2.000e+03 ) { 1.500e+03 2.000e+03 } (6) w0_2 = +1.814750e+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: DirectSearch Data length: 20 rows R-square: 9.957948e-01 Sum of squares of residuals: 8.554983e-03 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) = +5.188477e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e+00 1.000e+01 ) { 1.000e+00 1.000e+01 } (4) k_2_A = +2.740312e+02 [ 0.000e+00 0.000e+00 ] ( 1.000e-01 3.000e+03 ) { 1.000e-01 3.000e+03 } (5) w0_1 = +1.650000e+03 [ 0.000e+00 0.000e+00 ] ( 1.500e+03 2.000e+03 ) { 1.500e+03 2.000e+03 } (6) w0_2 = +1.814750e+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: DirectSearch Data length: 20 rows R-square: 9.870846e-01 Sum of squares of residuals: 2.718348e-02 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) = +5.188477e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e+00 1.000e+01 ) { 1.000e+00 1.000e+01 } (4) k_2_A = +2.740312e+02 [ 0.000e+00 0.000e+00 ] ( 1.000e-01 3.000e+03 ) { 1.000e-01 3.000e+03 } (5) w0_1 = +1.650000e+03 [ 0.000e+00 0.000e+00 ] ( 1.500e+03 2.000e+03 ) { 1.500e+03 2.000e+03 } (6) w0_2 = +1.814750e+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: DirectSearch Data length: 20 rows R-square: 9.571718e-01 Sum of squares of residuals: 9.280617e-02 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) = +5.188477e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e+00 1.000e+01 ) { 1.000e+00 1.000e+01 } (4) k_2_A = +2.740312e+02 [ 0.000e+00 0.000e+00 ] ( 1.000e-01 3.000e+03 ) { 1.000e-01 3.000e+03 } (5) w0_1 = +1.650000e+03 [ 0.000e+00 0.000e+00 ] ( 1.500e+03 2.000e+03 ) { 1.500e+03 2.000e+03 } (6) w0_2 = +1.814750e+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 }