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Airline OR innovations soar during COVID-19 recovery

Garrow, Laurie A.; Lurkin, Virginie; Marla, Lavanya - In: Operations research forum 3 (2022) 1, pp. 1-20

Persistent link: https://www.econbiz.de/10013173155

Intelligent aggressiveness : combining forecast multipliers with various unconstraining methods to increase revenue in a global network with four airlines

Weatherford, Larry R. - In: Journal of revenue and pricing management 14 (2015) 2, pp. 84-96

Persistent link: https://www.econbiz.de/10011309182

Do hybrid forecasting and forecast multipliers still work in a "perfectly tuned" PODS international network with four competing airlines?

Weatherford, Larry - In: Journal of revenue and pricing management 16 (2017) 6, pp. 580-593

Persistent link: https://www.econbiz.de/10011854195

Robust efficiency of airline resource schedules

Ionescu, Lucian - 2018

Persistent link: https://www.econbiz.de/10011868347

ARIMA + GARCH + Bootstrap forecasting method applied to the airline industry

Nieto, María Rosa; Carmona-Benítez, Rafael Bernardo - In: Journal of air transport management 71 (2018), pp. 1-8

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Improved forecast accuracy in airline revenue management by unconstraining demand estimates from censored data

Zeni, Richard H. - 2001

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Demand estimation in airline revenue management

Bartke, Philipp - 2014

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Combining Economic and Search-Request Variables to Predict Local Airline Market Shares : A Comparison of Forecasting Methods

Chiambaretto, Paul - 2020

Our aim in this article is to predict local airline market shares in the United States at the company level combining … economic indicators as explanatory variables to predict local airline market shares. Second, the comparison of the different …

Persistent link: https://www.econbiz.de/10012829986

SARIMA damp trend grey forecasting model for airline industry

Carmona-Benítez, Rafael Bernardo; Nieto, María Rosa - In: Journal of air transport management 82 (2020), pp. 1-10

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Combining hybrid forecasting and fare adjustment with various unconstraining methods to maximize revenue in a global network with four airlines

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Persistent link: https://www.econbiz.de/10010506906

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