A forecasting implementation of Box-Jenkins time series analysis

dc.contributor	Graduate Program in Industrial Engineering.
dc.contributor.advisor	Kavrakoğlu, İbrahim.
dc.contributor.author	Çelik, Turgut.
dc.date.accessioned	2023-03-16T10:29:56Z
dc.date.available	2023-03-16T10:29:56Z
dc.date.issued	1986.
dc.identifier.other	IE 1986 C33
dc.identifier.uri	http://digitalarchive.boun.edu.tr/handle/123456789/13432
dc.description.abstract	The 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.extent	30 cm.
dc.publisher	Thesis (M.S.)- Bogazici University. Institute for Graduate Studies in Science and Engineering, 1986.
dc.relation	Includes appendices.
dc.relation	Includes appendices.
dc.subject.lcsh	Time-series analysis.
dc.subject.lcsh	Box-Jenkins forecasting.
dc.title	A forecasting implementation of Box-Jenkins time series analysis
dc.format.pages	x, 58 leaves;