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Beyond reward expectancy : how do periodic incentive payments influence the temporal dynamics of performance?
Frankort, Hans T. W.; Avgoustaki, Argyro - In: Journal of management 48 (2022) 7, pp. 2075-2107
Persistent link: https://www.econbiz.de/10013396176
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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
Persistent link: https://www.econbiz.de/10011901784
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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
Persistent link: https://www.econbiz.de/10012253046
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Forecasting the demand of the aviation industry using hybrid time series SARIMA-SVR approach
Xu, Shuojiang; Chan, Hing Kai; Zhang, Tiantian - In: Transportation research / E : an international journal 122 (2019), pp. 169-180
Persistent link: https://www.econbiz.de/10011995052
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Count data models : estimator performance and applications
Johansson, Per-Olov - 1993
Persistent link: https://www.econbiz.de/10000871988
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Essays on savings and labor market policies
Kuruşçu, Burhanettin - 2002
Persistent link: https://www.econbiz.de/10003777012
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List of principal statistical series available
Great Britain / Central Statistical Office - 1965
Persistent link: https://www.econbiz.de/10002977264
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Air transport demand and economic growth in Brazil : a time series analysis
Marazzo, Marcial; Scherre, Rafael; Fernandes, Elton - In: Transportation research / E : an international journal 46 (2010) 2, pp. 261-269
Persistent link: https://www.econbiz.de/10003942626
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Statistical forecasting of the indicators of Polish airport's operations
Fijorek, Kamil; Leśniewska, Agnieszka - In: Folia oeconomica Stetinensia : FOS 11 (2012) 1, pp. 7-18
Persistent link: https://www.econbiz.de/10009761577
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Combination of forecasts across estimation windows : an application to air travel demand
Jungmittag, Andre - 2014
This paper applies combining forecasts of air travel demand generated from the same model but over different estimation windows. The combination approach used resorts to Pesaran and Pick (2011), but the empirical application is extended in several ways. The forecasts are based on a seasonal...
Persistent link: https://www.econbiz.de/10010367205