Professional paper
Long-range dependence
Danijel Grahovac
orcid.org/0000-0001-6918-3456
; Odjel za matematiku, Sveučilište u Osijeku, Osijek
Lucijana Grgić
orcid.org/0000-0002-4857-317X
; Odjel za matematiku, Sveučilište u Osijeku, Osijek
Abstract
In time series analysis one of the main goals is to model time dependent phenomena with stochastic processes. Some phenomena exhibit strong dependence so that even the distant past is significantly related to the future. In this paper we will describe some models of longrange dependence, their properties and methods for detecting longrange dependence in data. The application is illustrated on the yearly water levels of Nile river.
Keywords
long-range dependence; stationary stochastic processes; autocorrelation function
Hrčak ID:
228165
URI
Publication date:
18.7.2019.
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