Prediction methods for time-to-event outcomes often utilize survival models that rely on strong assumptions about noninformative censoring or on how individual-level covariates and …
This study explores traffic patterns on Taiwanese highways during consecutive holidays and focuses on understanding Taiwanese highway traffic behavior. We propose a …
Examining PM2.5 (atmospheric particulate matter with a maximum diameter of 2.5 micrometers), seasonal patterns is an important research area for environmental scientists. An …
In this research, we aimed to demonstrate the importance of Management Information systems (MISs) in education planning by collecting data and delivering forecast results to …
Forecasting hierarchical or grouped time series usually involves two steps, computing base forecasts and reconciling the forecasts. Base forecasts can be computed by popular time …
This research proposes two new methods for clustering time series that capture temporal information (trend, seasonality, and autocorrelation) and domain-relevant cross-sectional …
Analytics is important for education planning. Deploying forecasting analytics requires management information systems (MISs) that collect the needed data and deliver the forecasts …