Search Results - subject:"Additive method"

A tuned Holt-Winters white-box model for COVID-19 prediction

Hansun, Seng; Charles, Vincent; Gherman, Tatiana; Subanar; … - In: International journal of management and decision making … 20 (2021) 3, pp. 241-262

Persistent link: https://www.econbiz.de/10012599578

Revisiting the holt-winters’ additive method for better forecasting

Hansun, Seng; Charles, Vincent; Indrati, Christiana Rini; … - In: International journal of enterprise information systems … 15 (2019) 2, pp. 43-57

Persistent link: https://www.econbiz.de/10012035863

Data preprocessing and quantile regression for probabilistic load forecasting in the GEFCom2017 final match

Kanda, Isao; Veguillas, J. M. Quintana - In: International journal of forecasting 35 (2019) 4, pp. 1460-1468

Persistent link: https://www.econbiz.de/10012305376

Composite Index for Quality of Life in Italian Cities: An Application to URBES Indicators

Ivaldi, Enrico; Bonatti, Guido; Soliani, Riccardo - In: Review of Economics & Finance 4 (2014) November, pp. 18-32

Il Benessere Equo e Sostenibile nelle citt¨¤ (URBES) Report, drawn up by the Italian Institute of Statistics (ISTAT) offers a set of relevant indicators to assess the quality of life (QoL) in fourteen big Italian cities. These indicators belong to the twelve dimensions of well-being identified...

Persistent link: https://www.econbiz.de/10011096966

Enterprise’s performance evaluation on the basis of value added

Pacurari, Doina; Muntean, Mircea - In: Studies and Scientific Researches. Economics Edition (2009) 14

means of a case study,value added calculation (by subtractive and additive method) and their analysis. …

Persistent link: https://www.econbiz.de/10008620536

Composite index for quality of life in Italian cities : an application to URBES indicators

Ivaldi, Enrico - In: Review of economics & finance (2014) 4, pp. 18-32

Persistent link: https://www.econbiz.de/10010472012

An Industrial Application of Time Series Forecasting of Lumber Demand.

Alexander, Kristy Laurelle - 2003

Forecasting lumber demand is vital for operational purposes in the Distribution Centers of Home Improvement retail chains. This paper describes econometric time series analyses applied to specific lumber skus from the largest Home Improvement chain in the United States. We propose simple...

Persistent link: https://www.econbiz.de/10009431333