The article explores a new way to estimate unknown parameters using method-of-quantiles, which matches real-life and theoretical data points at a certain probability level. The researchers found that as the sample size gets bigger, these estimators can predict values with high accuracy. They compared this method to the traditional method-of-moments and found that method-of-quantiles can be more precise in certain cases.