Order Patterns in Time Series

Autor: Chstoph Bandt, F. A. Shiha
Rok vydání: 2007
Předmět:
Zdroj: Journal of Time Series Analysis. 28:646-665
ISSN: 1467-9892
0143-9782
DOI: 10.1111/j.1467-9892.2007.00528.x
Popis: Recent use of order patterns in time-series analysis shows the need for a corresponding theory. We determine probabilities of order patterns in Gaussian and autoregressive moving-average (ARMA) processes. Two order functions are introduced which characterize a time series in a way similar to autocorrelation. For stationary ergodic processes, all finite-dimensional distributions are obtained from the one-dimensional distribution plus the order structure of a typical time series.
Databáze: OpenAIRE