A forecasting implementation of Box-Jenkins time series analysis

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dc.contributorGraduate Program in Industrial Engineering.
dc.contributor.advisorKavrakoğlu, İbrahim.
dc.contributor.authorÇelik, Turgut.
dc.date.accessioned2023-03-16T10:29:56Z
dc.date.available2023-03-16T10:29:56Z
dc.date.issued1986.
dc.description.abstractThe ultimate effect of a decision generally depends on the outcome of factors that can not be foreseen at the time decision is made. Among wide variety of forecasting methods, the Box-Jenkins approach is known as the application of the more general and statistical based methods of time series analysis. This thesis covers the implementation of Box-Jenkins approach by using computer. A computer software is developed for building univariate and bivariate models, and for making the forecasts. The underlying principles of the Box-Jenkins approach are presented, and a methodology of using the approach is suggested.
dc.format.extent30 cm.
dc.format.pagesx, 58 leaves;
dc.identifier.otherIE 1986 C33
dc.identifier.urihttps://digitalarchive.library.bogazici.edu.tr/handle/123456789/13432
dc.publisherThesis (M.S.)- Bogazici University. Institute for Graduate Studies in Science and Engineering, 1986.
dc.relationIncludes appendices.
dc.relationIncludes appendices.
dc.subject.lcshTime-series analysis.
dc.subject.lcshBox-Jenkins forecasting.
dc.titleA forecasting implementation of Box-Jenkins time series analysis

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