Wavelet decomposition and its applications in aviation industry

buir.advisorÖkten, Çağla
dc.contributor.authorGürbüz, Melih Akif
dc.date.accessioned2016-01-08T18:12:28Z
dc.date.available2016-01-08T18:12:28Z
dc.date.issued2010
dc.departmentDepartment of Economicsen_US
dc.descriptionAnkara : The Department of Economics, Bilkent University, 2010.en_US
dc.descriptionThesis (Master's) -- Bilkent University, 2010.en_US
dc.descriptionIncludes bibliographical references leaves 41-42.en_US
dc.description.abstractThis 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 industryen_US
dc.description.degreeM.A.en_US
dc.description.statementofresponsibilityGürbüz, Melih Akifen_US
dc.format.extentx, 42 leaves, graphsen_US
dc.identifier.urihttp://hdl.handle.net/11693/15038
dc.language.isoEnglishen_US
dc.publisherBilkent Universityen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectWavelet Decompositionen_US
dc.subjectAviation Industryen_US
dc.subjectAEAen_US
dc.subjectLoad Factoren_US
dc.subject.lccHB139 .G87 2010en_US
dc.subject.lcshTime-series analysis--Data processing.en_US
dc.subject.lcshAir traffic control--Mathematical models.en_US
dc.subject.lcshWavelets (Mathematics)en_US
dc.titleWavelet decomposition and its applications in aviation industryen_US
dc.typeThesisen_US
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