A Study of Time Series Using Univariate Box-Jenkins Model

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dc.contributor.advisorHill, Jeanne
dc.contributor.authorLu, Yuelin
dc.contributor.departmentApplied Mathematics.en_US
dc.contributor.otherBaylor University.en_US
dc.contributor.schoolsHonors College.en_US
dc.date.accessioned2014-06-02T18:42:01Z
dc.date.available2014-06-02T18:42:01Z
dc.date.copyright2014-05-12
dc.date.issued2014-06-02
dc.description.abstractThis thesis looks at the Univariate Box-Jenkins Models for time series analysis. It introduces readers to the concepts of time series and this analytical model. Starting from underlying principles of time series, we cover the practice of ARIMA modeling, including a three-stage procedure: identification, estimation and forecasting.en_US
dc.identifier.urihttp://hdl.handle.net/2104/9006
dc.language.isoen_USen_US
dc.rightsBaylor University projects are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. Contact libraryquestions@baylor.edu for inquiries about permission.en_US
dc.rights.accessrightsWorldwide accessen_US
dc.titleA Study of Time Series Using Univariate Box-Jenkins Modelen_US
dc.typeThesisen_US

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