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    Wavelet decomposition and its applications in aviation industry

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    0004003.pdf (1.324Mb)
    Date Issued
    2010
    Author
    Gürbüz, Melih Akif
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    Please cite this item using this persistent URL
    http://hdl.handle.net/11693/15038
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    • Dept. of Economics - Master's degree [277]
    Advisor
    Ökten, Çağla
    Publisher
    Bilkent University
    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

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    BİLKENT UNIVERSITY

    Copyright © Bilkent University - Library Technical Services | 06800 Bilkent, Ankara TURKEY
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