A novel approach to the estimation of confidence limits for BJT model sets using a bootstrap technique

In this paper, a novel method for the estimation of confidence intervals of extracted parameter values is proposed. The technique is based on a bootstrap method which evaluates the error distributions which are associated with parameter extraction techniques. Using this technique, a confidence interval can then be estimated for extracted parameter values. Results are presented for DC, capacitance and high frequency measurements.