Results 171 to 180 of about 13,673 (195)
Some of the next articles are maybe not open access.
2016
Sarima Melichar, 1903 Sarima Melichar, 1903: 78 (type species: Sarima illibata Melichar, 1903, by original designation). Sarima – Distant 1906: 342. — Gnezdilov 2013b: 176. Diagnosis The genus can be recognized by the following characters: medium-sized; vertex transverse, median carina sometimes weak; frons wide, with median carina ...
Rui Meng, Yinglun Wang, Daozheng Qin
openaire +1 more source
Sarima Melichar, 1903 Sarima Melichar, 1903: 78 (type species: Sarima illibata Melichar, 1903, by original designation). Sarima – Distant 1906: 342. — Gnezdilov 2013b: 176. Diagnosis The genus can be recognized by the following characters: medium-sized; vertex transverse, median carina sometimes weak; frons wide, with median carina ...
Rui Meng, Yinglun Wang, Daozheng Qin
openaire +1 more source
Unit roots tests and SARIMA models
Economics Letters, 1996zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Barthélémy, Fabrice, Lubrano, Michel
openaire +2 more sources
Automatic SARIMA modeling and forecast accuracy
Communications in Statistics - Simulation and Computation, 2019The crucial phase of the practical application of the Box-Jenkins methodology is the specification and verification of the suitable model.
Josef Arlt, Peter Trcka
openaire +1 more source
SARIMA based network bandwidth anomaly detection
2012 Ninth International Conference on Computer Science and Software Engineering (JCSSE), 2012Network bandwidth is considered a valuable resource in most computer systems. To precisely detect network anomalies (with a few false alarms), an intrusion detection system requires reliable methods. A potential solution in predicting network bandwidth usage is using a time-series model with a threshold.
Aphichit Hanbanchong, Krerk Piromsopa
openaire +1 more source
Sarima amagisana Melichar 1906
Sarima amagisana Melichar, 1906 Notes Lee and Kwon (1981), ME (1993), Kwon et al. (1996), Lee and Jung (2001)Lee, Dong-Yeol +12 more
openaire +1 more source
2016 IEEE International Energy Conference (ENERGYCON), 2016
This paper compares four practical methods for electricity generation forecasting of grid-connected Photovoltaic (PV) plants, namely Seasonal Autoregressive Integrated Moving Average (SARIMA) modeling, SARIMAX modeling (SARIMA modeling with exogenous factor), modified SARIMA modeling, as a result of an a posteriori modification of the SARIMA model, and
Stylianos I. Vagropoulos +4 more
openaire +1 more source
This paper compares four practical methods for electricity generation forecasting of grid-connected Photovoltaic (PV) plants, namely Seasonal Autoregressive Integrated Moving Average (SARIMA) modeling, SARIMAX modeling (SARIMA modeling with exogenous factor), modified SARIMA modeling, as a result of an a posteriori modification of the SARIMA model, and
Stylianos I. Vagropoulos +4 more
openaire +1 more source
2014
Published as part of GNEzDILOV, Vladimir M., 2014, Review of Indochinese Issini Spinola, 1839 (Hemiptera, Fulgoroidea, Issidae), with description of a new genus from Laos, pp.
openaire +1 more source
Published as part of GNEzDILOV, Vladimir M., 2014, Review of Indochinese Issini Spinola, 1839 (Hemiptera, Fulgoroidea, Issidae), with description of a new genus from Laos, pp.
openaire +1 more source
Sarima illibata Melichar, 1903 * (Sarimini): Quang Binh Province (Pham & Ta 2009: 246).
Constant, Jérôme, Pham, Hong Thai
openaire +1 more source
Constant, Jérôme, Pham, Hong Thai
openaire +1 more source
SSRN Electronic Journal, 2017
French Abstract: L'objet de ce papier est d'estimer l'insecurite routiere en Tunisie par des modeles de series temporelles. On suppose comme variables explicatives le volume de trafic, l'exces de vitesse et les variables calendaires liees aux nombre de jours des vacances et des fetes religieuses.
Nejia ZAOUALI, ISLEM KHEFACHA
openaire +1 more source
French Abstract: L'objet de ce papier est d'estimer l'insecurite routiere en Tunisie par des modeles de series temporelles. On suppose comme variables explicatives le volume de trafic, l'exces de vitesse et les variables calendaires liees aux nombre de jours des vacances et des fetes religieuses.
Nejia ZAOUALI, ISLEM KHEFACHA
openaire +1 more source

