2 papers
stat.ME2024
Censored Data Forecasting: Applying Tobit Exponential Smoothing with Time Aggregation
Diego J. Pedregal, Juan R. Trapero
This study introduces a novel approach to forecasting by Tobit Exponential Smoothing with time aggregation constraints. This model, a particular case of the Tobit Innovations State…
stat.ME2024
Tobit Exponential Smoothing, towards an enhanced demand planning in the presence of censored data
Diego J. Pedregal, Juan R. Trapero, Enrique Holgado
ExponenTial Smoothing (ETS) is a widely adopted forecasting technique in both research and practical applications. One critical development in ETS was the establishment of a robust…