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In this paper, we make use of the information measure introduced by Mokkadem (1997) for building a goodness-of-fit test for long-range dependent processes. Our test statistic is performed in the frequency domain and writes as a non linear functional of the normalized periodogram. We establish the asymptotic distribution of our statistic under the null hypothesis. Under specific alternative hypotheses, we prove that the power converges to one. The performance of our test procedure is illustrated from different simulated series. In particular, we compare its size and its power with test of Chen and Deo.
@article{PS_2002__6__239_0, author = {Fay, Gilles and Philippe, Anne}, title = {Goodness-of-fit test for long range dependent processes}, journal = {ESAIM: Probability and Statistics}, pages = {239--258}, publisher = {EDP-Sciences}, volume = {6}, year = {2002}, doi = {10.1051/ps:2002013}, mrnumber = {1943149}, language = {en}, url = {http://geodesic.mathdoc.fr/articles/10.1051/ps:2002013/} }
TY - JOUR AU - Fay, Gilles AU - Philippe, Anne TI - Goodness-of-fit test for long range dependent processes JO - ESAIM: Probability and Statistics PY - 2002 SP - 239 EP - 258 VL - 6 PB - EDP-Sciences UR - http://geodesic.mathdoc.fr/articles/10.1051/ps:2002013/ DO - 10.1051/ps:2002013 LA - en ID - PS_2002__6__239_0 ER -
Fay, Gilles; Philippe, Anne. Goodness-of-fit test for long range dependent processes. ESAIM: Probability and Statistics, Tome 6 (2002), pp. 239-258. doi : 10.1051/ps:2002013. http://geodesic.mathdoc.fr/articles/10.1051/ps:2002013/
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