𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Calculating the rate of loss of information from chaotic time series by forecasting

✍ Scribed by Wales, David J.


Book ID
109771938
Publisher
Nature Publishing Group
Year
1991
Tongue
English
Weight
425 KB
Volume
350
Category
Article
ISSN
0028-0836

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Time-series forecasting of the German un
✍ PD Dr. Michael Funke πŸ“‚ Article πŸ“… 1992 πŸ› John Wiley and Sons 🌐 English βš– 810 KB

The purpose of the paper is to investigate the accuracy of forecasts derived from univariate and multivariate time-series models. An iterative method to adjust for impact assessment in univariate ARIMA models is discussed and illustrated for the German unemployment rate. Finally, we also examine the

Extraction of delay information from cha
✍ Yu-Chu Tian; Furong Gao πŸ“‚ Article πŸ“… 1997 πŸ› Elsevier Science 🌐 English βš– 452 KB

Using information entropy and embedding methods for reconstructing chaotic attractors, a technique for estimating time delay from experimental time data is proposed for chaotic systems governed by a delay differential equation. The effectiveness of the proposed approach is demonstrated with numerica

The use of non-time series information i
✍ Bob Edmundson; Michael Lawrence; Marcus O'Connor πŸ“‚ Article πŸ“… 1988 πŸ› John Wiley and Sons 🌐 English βš– 752 KB

The contribution of product and industry knowledge to the accuracy of sales forecasting was investigated by examining the company forecasts of a leading manufacturer and marketer of consumable products. The company forecasts of I8 products produced by a meeting of marketing, sales, and production pe