Estimating ARMAX systems for multivariate time series using the state approach to subspace algorithms

Bauer D (2009)
Journal of Multivariate Analysis 100(3): 397-421.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
Download
Es wurden keine Dateien hochgeladen. Nur Publikationsnachweis!
Erscheinungsjahr
2009
Zeitschriftentitel
Journal of Multivariate Analysis
Band
100
Ausgabe
3
Seite(n)
397-421
ISSN
0047-259X
Page URI
https://pub.uni-bielefeld.de/record/2670765

Zitieren

Bauer D. Estimating ARMAX systems for multivariate time series using the state approach to subspace algorithms. Journal of Multivariate Analysis. 2009;100(3):397-421.
Bauer, D. (2009). Estimating ARMAX systems for multivariate time series using the state approach to subspace algorithms. Journal of Multivariate Analysis, 100(3), 397-421. doi:10.1016/j.jmva.2008.05.008
Bauer, Dietmar. 2009. “Estimating ARMAX systems for multivariate time series using the state approach to subspace algorithms”. Journal of Multivariate Analysis 100 (3): 397-421.
Bauer, D. (2009). Estimating ARMAX systems for multivariate time series using the state approach to subspace algorithms. Journal of Multivariate Analysis 100, 397-421.
Bauer, D., 2009. Estimating ARMAX systems for multivariate time series using the state approach to subspace algorithms. Journal of Multivariate Analysis, 100(3), p 397-421.
D. Bauer, “Estimating ARMAX systems for multivariate time series using the state approach to subspace algorithms”, Journal of Multivariate Analysis, vol. 100, 2009, pp. 397-421.
Bauer, D.: Estimating ARMAX systems for multivariate time series using the state approach to subspace algorithms. Journal of Multivariate Analysis. 100, 397-421 (2009).
Bauer, Dietmar. “Estimating ARMAX systems for multivariate time series using the state approach to subspace algorithms”. Journal of Multivariate Analysis 100.3 (2009): 397-421.
Export

Markieren/ Markierung löschen
Markierte Publikationen

Open Data PUB

Web of Science

Dieser Datensatz im Web of Science®
Suchen in

Google Scholar