๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

NON-LINEAR TIME SERIES ANALYSIS OF BLOWFLY POPULATION

โœ Scribed by Ruey S. Tsay


Book ID
111039570
Publisher
John Wiley and Sons
Year
1988
Tongue
English
Weight
705 KB
Volume
9
Category
Article
ISSN
0143-9782

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


On tests for non-linearity in time serie
โœ W. S. Chan; H. Tong ๐Ÿ“‚ Article ๐Ÿ“… 1986 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 638 KB

We have developed a new test for non-linearity in time series data in discrete time. A comparative study has been conducted on Subba Rao, Gabr and Hinich's test, Keenan's test, Petruccelli and Davies' test, and the new test. Both simulated and real data are used in the study. The implication for for

PREDICTABILITY ANALYSIS OF SO2 TIME SERI
โœ V. LAPENNA; M. MACCHIATO; C. COSMI; M. RAGOSTA; C. SERIO ๐Ÿ“‚ Article ๐Ÿ“… 1996 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 763 KB

Sulphur dioxide daily concentration time series recorded at four stations in Ravenna (Italy) during the period 1981-1990 have been analysed. The predictability of these series has been evaluated using two possible forecasting approaches: the global autoregressive approximation and the local autoregr

Non-linear and linear forecasting of the
โœ K. J. Blinowska; M. Malinowski ๐Ÿ“‚ Article ๐Ÿ“… 1991 ๐Ÿ› Springer-Verlag ๐ŸŒ English โš– 483 KB

The method of non-linear forecasting of time series was applied to different simulated signals and EEG in order to check its ability of distinguishing chaotic from noisy time series. The goodness of prediction was estimated, in terms of the correlation coefficient between forecasted and real time se