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dc.contributor.advisorHartley, H. O.
dc.creatorGianchetta, Larry Duane
dc.date.accessioned2020-01-08T18:22:17Z
dc.date.available2020-01-08T18:22:17Z
dc.date.created1976
dc.date.issued1975
dc.identifier.urihttp://hdl.handle.net/1969.1/DISSERTATIONS-182783
dc.description.abstractThis dissertation is concerned with recent techniques presented by Box and Jenkins [1970] dealing with transfer function forecast models. The first consideration is what happens to the forecasts and their variances, as presented by Box and Jenkins [1970], given the special case of knowing the value of the leading indicator variable one lead time into the future and forecasting the variable of interest for the corresponding time period. The second consideration deals with the shortcomings of the Box and Jenkins [1970] techniques of estimation and identification given certain probably situations and alternative methods for estimation and ident cation. Finally, we present an example incorporating both of the aforementioned considerations. ...en
dc.format.extent131 leavesen
dc.format.mediumelectronicen
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.rightsThis thesis was part of a retrospective digitization project authorized by the Texas A&M University Libraries. Copyright remains vested with the author(s). It is the user's responsibility to secure permission from the copyright holder(s) for re-use of the work beyond the provision of Fair Use.en
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectStatisticsen
dc.subject.classification1975 Dissertation G433
dc.titleTime series forecasts based on transfer function theoryen
dc.typeThesisen
thesis.degree.disciplineStatisticsen
thesis.degree.grantorTexas A&M Universityen
thesis.degree.nameDoctor of Philosophyen
thesis.degree.levelDoctoralen
dc.contributor.committeeMemberFreund, Rudolf J.
dc.contributor.committeeMemberSmith, W. B.
dc.contributor.committeeMemberStone, B. Douglas
dc.type.genredissertationsen
dc.type.materialtexten
dc.format.digitalOriginreformatted digitalen
dc.publisher.digitalTexas A&M University. Libraries


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