A diagram to detect serial dependencies: an application to transport time series
Luca Bagnato (),
Lucio De Capitani () and
Antonio Punzo ()
Additional contact information
Luca Bagnato: Università Cattolica del Sacro Cuore
Lucio De Capitani: Università di Milano-Bicocca
Quality & Quantity: International Journal of Methodology, 2017, vol. 51, issue 2, 581-594
Abstract The Ljung–Box test is typically used to test serial independence even if, by construction, it is generally powerful only in presence of pairwise linear dependence between lagged variables. To overcome this problem, Bagnato et al. recently proposed a simple statistic defining a serial independence test which, differently from the Ljung–Box test, is powerful also under a linear/nonlinear dependent process characterized by pairwise independence. The authors also introduced a normalized bar diagram, based on p-values from the proposed test, to investigate serial dependence. This paper proposes a balanced normalization of such a diagram taking advantage of the concept of reproducibility probability. This permits to study the strength and the stability of the evidence about the presence of the dependence under investigation. An illustrative example based on an artificial time series, as well as an application to a transport time series, are considered to appreciate the usefulness of the proposal.
Keywords: Chi-squared statistic; Serial dependence; Reproducibility probability; Multi-way contingency table; Ljung–Box test (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
http://link.springer.com/10.1007/s11135-016-0426-y Abstract (text/html)
Access to the full text of the articles in this series is restricted.
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:spr:qualqt:v:51:y:2017:i:2:d:10.1007_s11135-016-0426-y
Ordering information: This journal article can be ordered from
Access Statistics for this article
Quality & Quantity: International Journal of Methodology is currently edited by Vittorio Capecchi
More articles in Quality & Quantity: International Journal of Methodology from Springer
Bibliographic data for series maintained by Sonal Shukla ().