| dc.contributor.author | Mung'au, M K | |
| dc.date.accessioned | 2013-05-21T15:23:55Z | |
| dc.date.available | 2013-05-21T15:23:55Z | |
| dc.date.issued | 2009 | |
| dc.identifier.citation | M.Sc (Statistics) | en |
| dc.identifier.uri | http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/24244 | |
| dc.description.abstract | It is important that a consumer get the quality of a product she/he wants.
Consequently,the quality of a finished product should be controlled to a desired
level.Thisisdone through statistical quality control. We have Univariate process
controland multivariate process control. In the first case, one is interested in
controllingone quality characteristic of a product, whereas in the second case,
oneisinterested in controlling more than one quality characteristics ofaproduct.
Thisprojectdeals with both caseswith special emphasis on the second.
Finally,we have looked at multivariate process control using the method of
principalcomponent analysis. | en |
| dc.description.sponsorship | University of Nairobi | en |
| dc.language.iso | en | en |
| dc.title | Bivariate process control for variability | en |
| dc.type | Thesis | en |
| local.publisher | School of Mathematics, University of Nairobi | en |
