๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

An efficient method of forecasting chaotic time series using linear interpolation

โœ Scribed by Paul S. Linsay


Publisher
Elsevier Science
Year
1991
Tongue
English
Weight
297 KB
Volume
153
Category
Article
ISSN
0375-9601

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Non-linear forecasting of financial time
โœ Terence C. Mills ๐Ÿ“‚ Article ๐Ÿ“… 1996 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 560 KB

We provide an overview of the papers contained in this Special Issue of the Journal of Forecasting and also discuss some new models for analysing financial time series that have recently been proposed. These are illustrated by empirical examples using 60 years of daily data on the London Stock Excha

Generation of natural daily flow time-se
โœ Smakhtin, V.Y. ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 207 KB ๐Ÿ‘ 2 views

Daily streamflow time-series data are often in demand in water resource assessment, water quality and river ecology studies. Such studies normally require daily time-series representing the natural conditions in a catchment. The generation of these time-series by means of deterministic physically ba

An evaluation of explicit time integrati
โœ P.C. Wallstedt; J.E. Guilkey ๐Ÿ“‚ Article ๐Ÿ“… 2008 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 345 KB

The stability and accuracy of the generalized interpolation material point (GIMP) Method is measured directly through carefully-formulated manufactured solutions over wide ranges of CFL numbers and mesh sizes. The manufactured solutions are described in detail. The accuracy and stability of several