Forecasting by learning methods: The gross domestic product, total energy consumption and petroleum consumption of the United States.

Persistent Link:
http://hdl.handle.net/10150/186631
Title:
Forecasting by learning methods: The gross domestic product, total energy consumption and petroleum consumption of the United States.
Author:
Cheng, Yuanzhi.
Issue Date:
1994
Publisher:
The University of Arizona.
Rights:
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Abstract:
This study generalizes the applications of learning curve theory. It extends the simple power learning model in two ways: (1) by extending the model to include other sift variables, the extensive learning model; (2) by generalizing the functional relationship to give greater flexibility in modelling the learning curve, the translog learning model. Through empirical analyses of gross domestic product, total energy consumption, petroleum consumption, and petroleum products consumption, different learning curve models are explored and compared.
Type:
text; Dissertation-Reproduction (electronic)
Keywords:
Dissertations, Academic.; Petroleum.; Energy consumption.
Degree Name:
Ph.D.
Degree Level:
doctoral
Degree Program:
Mining and Geological Engineering; Graduate College
Degree Grantor:
University of Arizona
Committee Chair:
Rieber, Michael

Full metadata record

DC FieldValue Language
dc.language.isoenen_US
dc.titleForecasting by learning methods: The gross domestic product, total energy consumption and petroleum consumption of the United States.en_US
dc.creatorCheng, Yuanzhi.en_US
dc.contributor.authorCheng, Yuanzhi.en_US
dc.date.issued1994en_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.description.abstractThis study generalizes the applications of learning curve theory. It extends the simple power learning model in two ways: (1) by extending the model to include other sift variables, the extensive learning model; (2) by generalizing the functional relationship to give greater flexibility in modelling the learning curve, the translog learning model. Through empirical analyses of gross domestic product, total energy consumption, petroleum consumption, and petroleum products consumption, different learning curve models are explored and compared.en_US
dc.typetexten_US
dc.typeDissertation-Reproduction (electronic)en_US
dc.subjectDissertations, Academic.en_US
dc.subjectPetroleum.en_US
dc.subjectEnergy consumption.en_US
thesis.degree.namePh.D.en_US
thesis.degree.leveldoctoralen_US
thesis.degree.disciplineMining and Geological Engineeringen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.chairRieber, Michaelen_US
dc.contributor.committeememberNewcomb, Richard T.en_US
dc.contributor.committeememberHarris, DeVerleen_US
dc.identifier.proquest9424964en_US
dc.identifier.oclc722013226en_US
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