Next Article in Journal
Entropy Generation and Mixed Convection Flow Inside a Wavy-Walled Enclosure Containing a Rotating Solid Cylinder and a Heat Source
Previous Article in Journal
Evaluating Different Methods for Determining the Velocity-Dip Position over the Entire Cross Section and at the Centerline of a Rectangular Open Channel
Previous Article in Special Issue
Time Series Complexities and Their Relationship to Forecasting Performance
Editorial

Entropy Application for Forecasting

Department of Applied Economics, University of Oviedo, Campus del Cristo s/n, 33006 Oviedo, Asturias, Spain
*
Author to whom correspondence should be addressed.
Entropy 2020, 22(6), 604; https://doi.org/10.3390/e22060604
Received: 19 May 2020 / Accepted: 27 May 2020 / Published: 29 May 2020
(This article belongs to the Special Issue Entropy Application for Forecasting)
Note: In lieu of an abstract, this is an excerpt from the first page.

The information theory developed by Shannon [...] View Full-Text
Keywords: information theory; uncertainty; forecasting methods; forecasting evaluation; accuracy; M-competition; combined forecasts; scenarios information theory; uncertainty; forecasting methods; forecasting evaluation; accuracy; M-competition; combined forecasts; scenarios
MDPI and ACS Style

López-Menéndez, A.J.; Pérez-Suárez, R. Entropy Application for Forecasting. Entropy 2020, 22, 604. https://doi.org/10.3390/e22060604

AMA Style

López-Menéndez AJ, Pérez-Suárez R. Entropy Application for Forecasting. Entropy. 2020; 22(6):604. https://doi.org/10.3390/e22060604

Chicago/Turabian Style

López-Menéndez, Ana J., and Rigoberto Pérez-Suárez. 2020. "Entropy Application for Forecasting" Entropy 22, no. 6: 604. https://doi.org/10.3390/e22060604

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop