Matches in SemOpenAlex for { <https://semopenalex.org/work/W2904707438> ?p ?o ?g. }
- W2904707438 endingPage "180" @default.
- W2904707438 startingPage "169" @default.
- W2904707438 abstract "In this study, a novel SARIMA-SVR model is proposed to forecast statistical indicators in the aviation industry that can be used for later capacity management and planning purpose. First, the time series is analysed by SARIMA. Then, Gaussian White Noise is reversely calculated. Next, four hybrid models are proposed and applied to forecast the future statistical indicators in the aviation industry. The results of empirical study suggest that one of the proposed models, namely SARIMA_SVR3, can achieve better accuracy than other methods, and prove that incorporating Gaussian White Noise is able to increase forecasting accuracy." @default.
- W2904707438 created "2018-12-22" @default.
- W2904707438 creator A5024476982 @default.
- W2904707438 creator A5047483989 @default.
- W2904707438 creator A5078002428 @default.
- W2904707438 date "2019-02-01" @default.
- W2904707438 modified "2023-10-13" @default.
- W2904707438 title "Forecasting the demand of the aviation industry using hybrid time series SARIMA-SVR approach" @default.
- W2904707438 cites W1979575715 @default.
- W2904707438 cites W1984755515 @default.
- W2904707438 cites W1986078433 @default.
- W2904707438 cites W1994512044 @default.
- W2904707438 cites W1995789178 @default.
- W2904707438 cites W1999996900 @default.
- W2904707438 cites W2005887670 @default.
- W2904707438 cites W2008759161 @default.
- W2904707438 cites W2013472039 @default.
- W2904707438 cites W2027964569 @default.
- W2904707438 cites W2028068740 @default.
- W2904707438 cites W2028119131 @default.
- W2904707438 cites W2049289224 @default.
- W2904707438 cites W2055485811 @default.
- W2904707438 cites W2058325810 @default.
- W2904707438 cites W2068438324 @default.
- W2904707438 cites W2068519165 @default.
- W2904707438 cites W2069904436 @default.
- W2904707438 cites W2084497615 @default.
- W2904707438 cites W2086706549 @default.
- W2904707438 cites W2094077821 @default.
- W2904707438 cites W2127469782 @default.
- W2904707438 cites W2135691157 @default.
- W2904707438 cites W2147153526 @default.
- W2904707438 cites W2341049598 @default.
- W2904707438 cites W2565112041 @default.
- W2904707438 cites W2566512888 @default.
- W2904707438 cites W2592635388 @default.
- W2904707438 cites W2620422220 @default.
- W2904707438 cites W2748069545 @default.
- W2904707438 cites W2767126816 @default.
- W2904707438 cites W2768306507 @default.
- W2904707438 cites W2772433304 @default.
- W2904707438 cites W2775155156 @default.
- W2904707438 cites W2782749104 @default.
- W2904707438 cites W2796061590 @default.
- W2904707438 cites W2803907192 @default.
- W2904707438 cites W2808707997 @default.
- W2904707438 cites W2875846317 @default.
- W2904707438 cites W2883490044 @default.
- W2904707438 cites W3125553560 @default.
- W2904707438 doi "https://doi.org/10.1016/j.tre.2018.12.005" @default.
- W2904707438 hasPublicationYear "2019" @default.
- W2904707438 type Work @default.
- W2904707438 sameAs 2904707438 @default.
- W2904707438 citedByCount "93" @default.
- W2904707438 countsByYear W29047074382019 @default.
- W2904707438 countsByYear W29047074382020 @default.
- W2904707438 countsByYear W29047074382021 @default.
- W2904707438 countsByYear W29047074382022 @default.
- W2904707438 countsByYear W29047074382023 @default.
- W2904707438 crossrefType "journal-article" @default.
- W2904707438 hasAuthorship W2904707438A5024476982 @default.
- W2904707438 hasAuthorship W2904707438A5047483989 @default.
- W2904707438 hasAuthorship W2904707438A5078002428 @default.
- W2904707438 hasConcept C112633086 @default.
- W2904707438 hasConcept C115961682 @default.
- W2904707438 hasConcept C119857082 @default.
- W2904707438 hasConcept C121332964 @default.
- W2904707438 hasConcept C127413603 @default.
- W2904707438 hasConcept C143724316 @default.
- W2904707438 hasConcept C146978453 @default.
- W2904707438 hasConcept C149782125 @default.
- W2904707438 hasConcept C151406439 @default.
- W2904707438 hasConcept C151730666 @default.
- W2904707438 hasConcept C154945302 @default.
- W2904707438 hasConcept C163716315 @default.
- W2904707438 hasConcept C33923547 @default.
- W2904707438 hasConcept C41008148 @default.
- W2904707438 hasConcept C42475967 @default.
- W2904707438 hasConcept C62520636 @default.
- W2904707438 hasConcept C74448152 @default.
- W2904707438 hasConcept C76155785 @default.
- W2904707438 hasConcept C86803240 @default.
- W2904707438 hasConcept C99498987 @default.
- W2904707438 hasConceptScore W2904707438C112633086 @default.
- W2904707438 hasConceptScore W2904707438C115961682 @default.
- W2904707438 hasConceptScore W2904707438C119857082 @default.
- W2904707438 hasConceptScore W2904707438C121332964 @default.
- W2904707438 hasConceptScore W2904707438C127413603 @default.
- W2904707438 hasConceptScore W2904707438C143724316 @default.
- W2904707438 hasConceptScore W2904707438C146978453 @default.
- W2904707438 hasConceptScore W2904707438C149782125 @default.
- W2904707438 hasConceptScore W2904707438C151406439 @default.
- W2904707438 hasConceptScore W2904707438C151730666 @default.
- W2904707438 hasConceptScore W2904707438C154945302 @default.
- W2904707438 hasConceptScore W2904707438C163716315 @default.
- W2904707438 hasConceptScore W2904707438C33923547 @default.
- W2904707438 hasConceptScore W2904707438C41008148 @default.
- W2904707438 hasConceptScore W2904707438C42475967 @default.