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GPS-X Technical Reference

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383 Optimizer<br />

Use specified standard deviations as reference (ON - OFF): Determines if the<br />

standard deviation of errors should be used as reference values for the purpose of<br />

counting the proportion of weighted residuals falling outside reference bounds at a given<br />

level of significance. These reference bounds are calculated using the reference standard<br />

deviations. In addition, if this option is ON a chi-square test is performed on the sum of<br />

squares of the standard deviations of the weighted residuals divided by the reference<br />

standard deviations. This option is set to OFF by default. It does not affect the outcome<br />

of an optimization run.<br />

Level of significance: This value is used for computing the reference bounds if use<br />

specified standard deviations as reference is set to ON . This value cannot affect the<br />

outcome of an optimization run.<br />

Heteroscedasticity model (ON - OFF): Determines if the variance model given in<br />

Equation 14.8 is used. If this option is turned off the heteroscedasticity parameters are<br />

set to zero.<br />

Heteroscedasticity parameters: A vector containing the heteroscedasticity parameter for<br />

each response variable. If heteroscedasticity model is set to OFF, all heteroscedasticity<br />

parameters are ignored.<br />

Derivative Information Sub-Section<br />

Report objective function gradient and Hessian ( ON - OFF ): Controls the printing of<br />

the gradient and the Hessian of the objective function at the solution. When this option is<br />

ON, the gradient and Hessian are printed to the Log window and if necessary to the<br />

stats.txt file. The gradient of the objective function is a vector containing the derivatives<br />

of the objective function with respect to each optimized parameter. The relative gradient<br />

is a scaled version of the gradient. The Hessian is a matrix containing the second<br />

derivatives of the objective function with respect to the optimized parameters. A Gauss-<br />

Newton Hessian approximation is used. The Hessian is only reported when the maximum<br />

likelihood or the sum of squares objective functions are used.<br />

Report model sensitivity coefficients (ON - OFF): Controls the printing of the model<br />

sensitivity coefficients at the solution. When this option is ON the sensitivity coefficients<br />

are printed to the Log window and if necessary to the stats.txt file. For each target<br />

variable, the model sensitivity coefficients are the derivatives of the target variable with<br />

respect to each optimized parameter at each data point. These derivatives are used in the<br />

calculation of the Hessian, variance-covariance, and correlation matrices and the<br />

confidence limits.<br />

Finite-difference relative perturbation size: The gradient vector elements and the<br />

model sensitivity coefficients are calculated using a finite-difference formula, specifically<br />

a forward-difference formula. The step size used in calculating the derivatives is<br />

calculated by multiplying the finite-difference relative perturbation size by the<br />

absolute value of the parameter of interest. Note that this setting affects the calculation of<br />

the confidence limits.<br />

<strong>GPS</strong>-X <strong>Technical</strong> <strong>Reference</strong>

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