Unified Statistical Modeling for Circuit Simulation

Accurate statistical simulation and modeling are important for IC design. Different types of statistical simulation require different types of statistical models. In this paper a unified approach to statistical modeling and characterization is presented. Based on physical process parameters and propagation of variance, it allows modeling of process extremes, distributional modeling for Monte Carlo type simulation, and modeling of mismatch.