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  • Search: subject:"multivariate adaptive regression spline model"
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Year of publication
Subject
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Airlines 2 Gravity model 2 Multivariate adaptive regression spline model (MARS) 2 Passenger flows 2 Air passenger transport 1 Airbnb title description 1 Airline 1 Fluggesellschaft 1 Gravitationsmodell 1 Marketer generated content (MGCs) 1 Nichtparametrisches Verfahren 1 Nonparametric statistics 1 Passagierluftverkehr 1 Regression analysis 1 Regressionsanalyse 1 Theorie 1 Theory 1 linguistic cues 1 multivariate adaptive regression spline model 1 value co-creation 1
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Undetermined 2
Type of publication
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Article 3
Type of publication (narrower categories)
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Article in journal 2 Aufsatz in Zeitschrift 2
Language
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English 2 Undetermined 1
Author
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Chang, Li-Yen 1 Chang, Li-yen 1 Chattopadhyay, Manojit 1 Pal, Debdatta 1
Published in...
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Journal of Air Transport Management 1 Journal of air transport management 1 Journal of global scholars of marketing science : bridging Asia and the world ; JGSMS 1
Source
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ECONIS (ZBW) 2 RePEc 1
Showing 1 - 3 of 3
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Exploring the strategic role of Marketer-Generated-Content analytics towards Airbnb hosts sales optimization
Chattopadhyay, Manojit; Pal, Debdatta - In: Journal of global scholars of marketing science : … 34 (2024) 2, pp. 253-282
Persistent link: https://www.econbiz.de/10014511631
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Analysis of bilateral air passenger flows: A non-parametric multivariate adaptive regression spline approach
Chang, Li-Yen - In: Journal of Air Transport Management 34 (2014) C, pp. 123-130
Gravity models have long served as a framework for analyzing bilateral flows, trade and many other activities. To estimate a gravity model, (parametric) linear regression techniques have been commonly employed to develop the relationship between passenger flows and factors that can significantly...
Persistent link: https://www.econbiz.de/10010729948
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Cover Image
Analysis of bilateral air passenger flows : a non-parametric multivariate adaptive regression spline approach
Chang, Li-yen - In: Journal of air transport management 34 (2014), pp. 123-130
Persistent link: https://www.econbiz.de/10010244579
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