A Scalable Empirical Model of Waiting Times

Many phenomena in data science involve waiting until a
particular event occurs. For example, ordered merchandise does not arrive immediately. Usually, it takes some time for transportation
companies to deliver items from vendors to firms. Because of random lags in order arrivals, zero inventories can obtain along with their accompanying costs. Therefore, understanding the stochastic process for the arrival of purchased merchandise at firms is an important component
of supply-chain management.