An analytical comparison of several statistical techniques for the prediction of demand
| dc.creator | Uher, Edward Louis | |
| dc.date.accessioned | 2016-11-14T23:12:37Z | |
| dc.date.available | 2011-02-18T19:16:04Z | |
| dc.date.available | 2016-11-14T23:12:37Z | |
| dc.date.issued | 1965-05 | |
| dc.degree.department | Industrial and Systems Engineering | en_US |
| dc.description.abstract | The purpose of this investigation is to compare three generally accepted statistical decision- making techniques with reference to their applicability to the problem of demand prediction» The three techniques are (1) a modified Bayesian Decision-Making procedure, (2) a modified C-Chart procedure, and (3) a Sequential decision procedure which includes the use of the Likelihood-Ratlo Test.This investigation will be confined to the problem of demand prediction which is an Integral part of the over-all problem of provisioning and inventory policies. | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.uri | http://hdl.handle.net/2346/10100 | en_US |
| dc.language.iso | eng | |
| dc.publisher | Texas Tech University | en_US |
| dc.rights.availability | Unrestricted. | |
| dc.subject | Supply and demand | en_US |
| dc.subject | Decision making | en_US |
| dc.title | An analytical comparison of several statistical techniques for the prediction of demand | |
| dc.type | Thesis |