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dc.contributor.advisorBasore, Bennett L.
dc.contributor.authorFry, Donald Wayne
dc.date.accessioned2016-03-02T18:31:32Z
dc.date.available2016-03-02T18:31:32Z
dc.date.issued1987-07-01
dc.identifier.urihttps://hdl.handle.net/11244/32073
dc.description.abstractThis 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.formatapplication/pdf
dc.languageen_US
dc.publisherOklahoma State University
dc.rightsCopyright 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.titleUse of Multiple Regression Analysis and Response Surface Techniques in the Design of Optional Non-demand Electric Utility Rates
dc.typetext
dc.contributor.committeeMemberLingelbach, Daniel
dc.contributor.committeeMemberTuner, Wayne
osu.filenameThesis-1987-F946u.pdf
osu.accesstypeOpen Access
dc.description.departmentGeneral Engineering
dc.type.genreThesis


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