Parent Command
>> ERROR
Subcommand

Description
The estimated error variance s_{0}^{2} represents the variance of the mean weighted residual and is thus a measure of goodnessoffit:
The a posteriori error variance s_{0}^{2} or a priori error variance sigma_{0}^{2} is used in the subsequent
error analysis. For example, the covariance matrix of the estimated parameters, C_{pp}
is directly proportional to the scalar s_{0}^{2} or sigma_{0}^{2}, respectively. Note that if the residuals are
consistent with the distributional assumption about the measurement errors (i.e., matrix C_{zz}),
then the estimated error variance assumes a value close to one.
The user must decide whether the error analysis should be based on the a posteriori or a priori
error variance. The decision can also be delegated to the Fisher Model Test (see command
Example
> COMPUTATION
>> ERROR analysis
>>> based on A POSTERIORI error variance
<<<
See Also