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      • Bilkent Theses
      • Theses - Department of Economics
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      Wavelet decomposition and its applications in aviation industry

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      Author(s)
      Gürbüz, Melih Akif
      Advisor
      Ökten, Çağla
      Date
      2010
      Publisher
      Bilkent University
      Language
      English
      Type
      Thesis
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      Abstract
      This thesis analyzes the characteristic air traffic time series data of European aviation industry by using wavelet decomposition. Firstly, time frequency representation and discrete time wavelet decomposition is introduced by giving some theoretical background and basic definitions. Then, the attributes of AEA data, i.e. load factor, available seat kilometer and revenue passenger kilometer is analyzed both geographically and based on prominent Airline operators. Furthermore, their relative comparisons have led to unravel some underlying implications and their distinctive interpretations for the airline industry
      Keywords
      Wavelet Decomposition
      Aviation Industry
      AEA
      Load Factor
      Permalink
      http://hdl.handle.net/11693/15038
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      • Dept. of Economics - Master's degree 325
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