Issue link: https://resources.pcb.cadence.com/i/1180526
PSpice User Guide Monte Carlo and sensitivity (worst-case) analyses October 2019 556 Product Version 17.4-2019 © 1999-2019 All Rights Reserved. Statistical analyses Monte Carlo and sensitivity (worst-case) are statistical analyses. This section describes information common to both types of analyses. See Monte Carlo analysis on page 567 for information specific to Monte Carlo analyses, and see Worst-case analysis on page 590 for information specific to sensitivity ( worst-case) analyses. Overview of statistical analyses The Monte Carlo and worst-case analyses vary the lot or device tolerances of devices between multiple runs of an analysis (DC, AC, or transient). Before running the analysis, you must set up the model and/or lot tolerances of the model parameter to be investigated. A Monte Carlo analysis performs a Monte Carlo (statistical) analysis of the circuit. A worst-case analysis performs a sensitivity and worst-case analysis of the circuit. Sensitivity (worst-case) analyses are different from Monte Carlo analyses in that they compute the parameters using the sensitivity data rather than using random numbers. You can run either a Monte Carlo or a worst-case analysis, but you cannot run both at the same time. Multiple runs of the selected analysis are done while parameters are varied. You can select only one analysis type (AC, DC, or transient) per run. The selected analysis is repeated in subsequent passes of the analysis. Generating statistical results As the number of Monte Carlo or worst-case runs increases, simulation takes longer and the data file gets larger. Large data files may be slow to open and slow to draw traces. One way to work around this is to set up an overnight batch job to run the simulation and execute commands. You can even set up the batch job to produce a series of plots on paper to be ready for you in the morning.