THETA Parameter Relative Standard Error (RSE) Calculation

Percent Relative Standard Error for THETA parameters are calculated as:

RSE(%) = (SE / Estimate) * 100 

where:

SE is the standard error of the estimated parameter (THETA)

Estimate is the estimated value of the parameter (THETA)

The RSE provides a measure of the precision or relative uncertainty associated with the estimated parameter. A smaller RSE indicates a more precise estimate with less uncertainty, while a larger RSE indicates a less precise estimate with higher uncertainty. It is important to note that the calculation of the RSE assumes that the standard errors and estimates follow a normal distribution and that the estimated parameter is not near zero or negative. Additionally, the RSE should be interpreted in the context of the specific parameter being estimated and the modeling assumptions and objectives of the analysis.

Note:    RSE calculation depends on a successful covariance step. RSE will not be reported if SEs are not available.