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Database scheme design for clinical studies based on a semantic data model
Mann, G.; Haux, R. - In: Computational Statistics & Data Analysis 15 (1993) 1, pp. 81-108
Persistent link: https://www.econbiz.de/10005081726
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Low Cost Carriers and the Evolution of the Domestic U.S. Airline Industry
Hüschelrath, K.; Müller, K. - In: Competition and Regulation in Network Industries 13 (2012) 2, pp. 133-160
The article studies the evolution of the domestic U.S. airline industry from 1995 to 2009 using T-100 traffic data and DB1B fare data from the U.S. Department of Transportation. Unlike previous studies, a consistent split of the analysis in network carriers and low cost carriers is introduced....
Persistent link: https://www.econbiz.de/10010553072
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Logistikmanagement kleiner und mittlerer Unternehmen in wandelbaren regionalen Produktionsnetzwerken
Pfohl, Hans-Christian; Häusler, P.; Müller, K. - Fachbereich Rechts- und Wirtschaftswissenschaften, … - 1998
Persistent link: https://www.econbiz.de/10008524558
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Nutzung regionaler Produktionsnetzwerke zur Überwindung von Kapazitätsengpässen
Pfohl, Hans-Christian; Häusler, P.; Müller, K. - Fachbereich Rechts- und Wirtschaftswissenschaften, … - 2000
Persistent link: https://www.econbiz.de/10008576545
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Temporal dynamics of soil water repellency and its impact on pasture productivity
Müller, K.; Deurer, M.; Jeyakumar, P.; Mason, K.; van … - In: Agricultural Water Management 143 (2014) C, pp. 82-92
New Zealand pastoral soils have the potential to develop water-repellent conditions irrespective of regional climate and soil orders. The aim of this study was to improve the understanding of the temporal dynamics of soil water repellency (SWR), the mechanisms leading to this transient soil...
Persistent link: https://www.econbiz.de/10011047634
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Low Cost Carriers and the Evolution of the Domestic U.S. Airline Industry
Hüschelrath, K.; Müller, K. - In: Competition and Regulation in Network Industries 13 (2012) 2, pp. 133-160
The article studies the evolution of the domestic U.S. airline industry from 1995 to 2009 using T-100 traffic data and DB1B fare data from the U.S. Department of Transportation. Unlike previous studies, a consistent split of the analysis in network carriers and low cost carriers is introduced....
Persistent link: https://www.econbiz.de/10011134238