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

Monte Carlo example Figure 1 shows an example Monte Carlo analysis for the stability of a switching power supply using a state-space-average model. The simulation runs an AC analysis and looks to see ...

In this article we discuss the problem of assessing the performance of Markov chain Monte Carlo (MCMC) algorithms on the basis of simulation output. In essence, we extend the original ideas of Gelman ...

ABSTRACT This paper introduces a methodology to calculate confidence bounds for a normal and Weibull distribution using Monte Carlo pivotal statistics. As an example, a ready-to-use lookup table to ...

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.

The book also covers a wide range of topics related to Monte Carlo simulation, such as resampling methods, simulations of substantive theory, simulation of quantities of interest (QI) from model ...