Issue link: https://resources.pcb.cadence.com/i/1180526
PSpice A/D User Guide Creating and editing models October 2019 215 Product Version 17.4-2019 © 2022 All Rights Reserved. PSpice Advanced Analysis Monte Carlo uses original (nominal) parameter values to calculate results for each specification's first Monte Carlo run. For the subsequent Monte Carlo runs, Advanced Analysis uses distribution functions to randomly pick new parameter values within the manufacturer's tolerance. The possible distribution types are: ■ FLAT - Use the flat distribution function if you want an equal probability of one parameter value being chosen over another. Use the flat distribution function if you want an equal probability that one parameter value will be chosen versus another. ■ BSIMD.4.2 - Use the bimodal distribution function if you want to represent the probability of a manufactured component falling in the outer range of tolerance values. Use the bimodal distribution function if you want to represent the probability of a manufactured component failing in the outer range of tolerance values. For example, a resistor with a 10% tolerance might really only be available in the 5% to 10% range because the 1% to 4% resistors are picked out and sold as resistors with 5% tolerance. ■ GAUSS0.4 - Use the Gaussian distribution function if you want a bell curve probability that one parameter value will be chosen versus another. Use the Gaussian distribution function if you want a bell curve probability that one parameter value will be chosen versus another. ■ SKEW.4.8 - Use the skewed distribution function if you want to weigh the probability of one parameter value being chosen versus another. Use the skewed distribution function if you want to weigh the probability of one parameter value being chosen versus another. Note: By default, the distribution type is FLAT. The distribution type influences the Sensitivity and Monte Carlo analysis. To know more about Sensitivity and Monte Carlo analysis, see PSpice Advanced Analysis User Guide.