dc.contributor.advisor | Basore, Bennett L. | |
dc.contributor.author | Fry, Donald Wayne | |
dc.date.accessioned | 2016-03-02T18:31:32Z | |
dc.date.available | 2016-03-02T18:31:32Z | |
dc.date.issued | 1987-07-01 | |
dc.identifier.uri | https://hdl.handle.net/11244/32073 | |
dc.description.abstract | This study develops a systematic procedure whereby multiple regression analysis and response surface techniques can be used in the design of electric utility rates to determine revenue recovery involving migration for large non-demand rate classes. A Plackett-Burman design and a Central Composite design are used in the development of the three models included in this study. Correlation coefficients and residuals are calculated in the evaluation of these models. | |
dc.format | application/pdf | |
dc.language | en_US | |
dc.publisher | Oklahoma State University | |
dc.rights | Copyright is held by the author who has granted the Oklahoma State University Library the non-exclusive right to share this material in its institutional repository. Contact Digital Library Services at lib-dls@okstate.edu or 405-744-9161 for the permission policy on the use, reproduction or distribution of this material. | |
dc.title | Use of Multiple Regression Analysis and Response Surface Techniques in the Design of Optional Non-demand Electric Utility Rates | |
dc.type | text | |
dc.contributor.committeeMember | Lingelbach, Daniel | |
dc.contributor.committeeMember | Tuner, Wayne | |
osu.filename | Thesis-1987-F946u.pdf | |
osu.accesstype | Open Access | |
dc.description.department | General Engineering | |
dc.type.genre | Thesis | |