2000
DOI: 10.1039/b002171g
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A simple, all-purpose nonlinear algorithm for univariate calibration

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Cited by 17 publications
(31 citation statements)
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“…The 'lsqnonlin' function (optimization toolbox) was used to fit the model in equation 1 to the P CO2 -pH data. The uncertainty in the calculation of P CO2 , given the pH and the calibration buffer curve, was determined by a nonlinear algorithm [ 142 , 143 ]. The 'rlowess' function (curve-fitting toolbox) was applied for the smoothing of spectra.…”
Section: Methodsmentioning
confidence: 99%
“…The 'lsqnonlin' function (optimization toolbox) was used to fit the model in equation 1 to the P CO2 -pH data. The uncertainty in the calculation of P CO2 , given the pH and the calibration buffer curve, was determined by a nonlinear algorithm [ 142 , 143 ]. The 'rlowess' function (curve-fitting toolbox) was applied for the smoothing of spectra.…”
Section: Methodsmentioning
confidence: 99%
“…Standard errors in a and b, written as σ a and σ b , respectively, may be found from the diagonal of the covariance matrix, V, given by [8],…”
Section: Fit Of Linear Equation To Datamentioning
confidence: 99%
“…Estimation of the unknown x 0 and its uncertainty is the main goal of calibration. The essence of the new one-step (OS) algorithm 14 is the inclusion of x 0 among the adjustable parameters in a nonlinear least-squares (NLS) fit of the calibration data and y 0 , so that x 0 and its statistical error are obtained directly from the fit. The procedures for accomplishing this were spelled out in the initial Communication, 14 where it was also demonstrated that the algorithm gives eqn.…”
Section: Theorymentioning
confidence: 99%
“…In a sense, the algorithm is just a novel way to get the fit itself to solve for x 0 [from y 0 5 f(x 0 )], and to correctly perform the statistical error propagation needed to estimate s x0 . Since these points have already been demonstrated in some detail, 14 they will be reviewed only briefly here.…”
Section: Theorymentioning
confidence: 99%