SARIMA damp trend grey forecasting model for airline industry

Author:

Carmona-Benítez Rafael Bernardo,Nieto María Rosa

Publisher

Elsevier BV

Subject

Law,Management, Monitoring, Policy and Law,Strategy and Management,Transportation

Reference34 articles.

1. Findings from evidence-based forecasting: methods for reducing forecast error;Armstrong;Int. J. Forecast.,2006

2. The Design of a Large Scale Airline Network;Carmona-Benítez,2012

3. Damp trend Grey Model forecasting method for airline industry;Carmona-Benítez;International Journal of Expert Systems with Applications,2013

4. Forecasting port cargo throughput based on grey wave forecasting model with generalized contour lines;Chen;J. Grey Syst.,2017

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