The link is about a research study that compares different univariate methods for forecasting container throughput. The study aims to determine which method is the most accurate in predicting the number of containers that will pass through a port in the future. The study compares six different univariate methods, including exponential smoothing, ARIMA, and seasonal decomposition, among others. The results of the study can help port managers and operators make more informed decisions about resource allocation and planning based on accurate container throughput forecasts.