The article discusses how to estimate the parameters of a specific type of distribution called tapered Pareto. The researchers found new estimates using a method based on moments, which are values that describe the shape of the distribution. These estimates have a Gaussian distribution when considered together. They also developed a way to choose a key parameter effectively. The new estimates were compared to the usual maximum likelihood estimates. The researchers applied their new method to COVID-19 data and created a new way to generate random numbers following a tapered Pareto distribution.