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.
Identifer | oai:union.ndltd.org:arizona.edu/oai:arizona.openrepository.com:10150/186631 |
Date | January 1994 |
Creators | Cheng, Yuanzhi. |
Contributors | Rieber, Michael, Newcomb, Richard T., Harris, DeVerle |
Publisher | The University of Arizona. |
Source Sets | University of Arizona |
Language | English |
Detected Language | English |
Type | text, Dissertation-Reproduction (electronic) |
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. |
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