[Utilisation de la quasi-vraisemblance pour un test de détection de rupture dans les paramètres des processus causaux]
Dans cette Note, nous proposons un nouveau test de détection de rupture dans le paramètre dʼun processus
In this Note, we propose a new procedure to test a change in the parameter of a process
Accepté le :
Publié le :
William Charky Kengne 1, 2
@article{CRMATH_2012__350_5-6_307_0, author = {William Charky Kengne}, title = {A test for parameter change in general causal time series using quasi-likelihood estimator}, journal = {Comptes Rendus. Math\'ematique}, pages = {307--312}, publisher = {Elsevier}, volume = {350}, number = {5-6}, year = {2012}, doi = {10.1016/j.crma.2012.03.001}, language = {en}, }
TY - JOUR AU - William Charky Kengne TI - A test for parameter change in general causal time series using quasi-likelihood estimator JO - Comptes Rendus. Mathématique PY - 2012 SP - 307 EP - 312 VL - 350 IS - 5-6 PB - Elsevier DO - 10.1016/j.crma.2012.03.001 LA - en ID - CRMATH_2012__350_5-6_307_0 ER -
William Charky Kengne. A test for parameter change in general causal time series using quasi-likelihood estimator. Comptes Rendus. Mathématique, Volume 350 (2012) no. 5-6, pp. 307-312. doi : 10.1016/j.crma.2012.03.001. https://comptes-rendus.academie-sciences.fr/mathematique/articles/10.1016/j.crma.2012.03.001/
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