Principles of forecasting — a short overview

3Citations
Citations of this article
7Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Forecasting procedures are needed when there is uncertainty about the future. In our contribution we discuss some principles that can help to make more accurate forecasts and help to better assess the uncertainty associated with forecasts. We mainly discuss statistical forecasting procedures, but other principles based on experts (judgmental forecasting) and integrating and combining approaches are also mentioned. We show some results of forecasting in two different application areas.

Cite

CITATION STYLE

APA

Pelikán, E. (1999). Principles of forecasting — a short overview. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1725, pp. 311–327). Springer Verlag. https://doi.org/10.1007/3-540-47849-3_19

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free