27 citations · 27 across the 3 of their papers we have counts for
3 papers
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…
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…
Forecasting: theory and practice
Fotios Petropoulos, Daniele Apiletti, Vassilios Assimakopoulos +77
Forecasting has always been at the forefront of decision making and planning. The uncertainty that surrounds the future is both exciting and challenging, with individuals and organ…