Quantifying parameter uncertainty typically involves statistical analysis and computational techniques. Methods such as Monte Carlo simulations, Bayesian inference, and sensitivity analysis are commonly used to estimate the range and impact of uncertain parameters. These techniques help in understanding the probability distribution of parameters and their effects on the catalytic process.
