This article will present techniques for tolerance analysis using Monte Carlo and Gaussian distributions and worst-case analysis within LTspice.

Monte Carlo Simulation: A statistical method that employs random sampling to calculate uncertainty and predict the propagation of errors in complex systems.

The Inverse Sampling Method can expand the capability of tools, such as Excel and Spice, into performing user-defined statistical simulations.

Monte Carlo (MC) simulations use repeated random sampling to relate process variations to circuit performance and functionality, thus determining how they impact yield. However, for comprehensive ...

The Monte Carlo analysis is a decision-making tool that can help an investor or manager determine the degree of risk that an action entails.