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The analysis of the quarterly evolution of the gross domestic product in 2019
Anghelache, Constantin; Iacob, Ștefan Virgil; … - In: Theoretical and applied economics : GAER review 27 (2020) 1/622, pp. 171-182
Persistent link: https://www.econbiz.de/10012642964
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Zeitparametervariable Analyse und Visualisierung von Finanzdaten : Methoden der Investmentprozessbegleitung fondsgebundener Anlageformen
Schelwies, Norman - 2008 - 1. Aufl.
Viele aktive Entscheidungen bei der Anlage in Wertpapieren werden auf Basis von Informationen getroffen, die mit Hilfe empirischer Analysen historischer Finanzdaten gewonnen wurden. Leider sind die meisten Ergebnisse dieser Analysen sehr anfällig gegenüber einer Änderung der Zeitparameter,...
Persistent link: https://www.econbiz.de/10003678800
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"Seeing is believing": exploring opportunities for the visualization of activity-travel and land use processes in space-time
Buliung, Ron N.; Morency, Catherine - In: Progress in spatial analysis : methods and applications, (pp. 119-147). 2010
Persistent link: https://www.econbiz.de/10003927390
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Visualizing probability distributions across bivariate cyclic temporal granularities
Gupta, Sayani; Hyndman, Rob J.; Cook, Dianne; Unwin, Antony - 2020
Persistent link: https://www.econbiz.de/10012610833
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Macroscopic features of production network and sequential graph drawing
Fujita, Yuji; Fujiwara, Yoshi; Sōma, Wataru - In: Evolutionary and institutional economics review 16 (2019) 1, pp. 183-199
Persistent link: https://www.econbiz.de/10012034594
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Calendar-based graphics for visualizing people's daily schedules
Wang, Earo; Cook, Dianne; Hyndman, Rob J. - 2019
Persistent link: https://www.econbiz.de/10012592794
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DAViS : a unified solution for data collection, analyzation, and visualization in real-time stock market prediction
Suppawong Tuarob; Poom Wettayakorn; Ponpat Phetchai; … - In: Financial innovation : FIN 7 (2021), pp. 1-32
ensemble scheme of machine learning methods with contextual information improves stock prediction performance. Finally, our …
Persistent link: https://www.econbiz.de/10012594948
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Meta-learning how to forecast time series
Talagala, Thiyanga S.; Hyndman, Rob J.; Athanasopoulos, … - In: Journal of forecasting 42 (2023) 6, pp. 1476-1501
Persistent link: https://www.econbiz.de/10014338938
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New forecasting insights on the bullwhip effect in a supply chain
Najafi, Mehdi; Farahani, Reza Zanjirani - In: IMA journal of management mathematics 25 (2014) 3, pp. 259-286
Persistent link: https://www.econbiz.de/10010387735
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Making sense of transient responses in simulation studies
Melnyk, Steven A.; Zobel, Christopher W.; MacDonald, John R. - In: International journal of production research 52 (2014) 3, pp. 617-632
Persistent link: https://www.econbiz.de/10010254386