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dc.contributor.advisorCouch, J. R.
dc.creatorSmith, David Worth
dc.date.accessioned2020-01-08T17:51:52Z
dc.date.available2020-01-08T17:51:52Z
dc.date.created1971
dc.date.issued1961
dc.identifier.urihttps://hdl.handle.net/1969.1/DISSERTATIONS-173214
dc.description.abstractConsideration is given to obtaining maximum-likelihood estimates of variance components for both balanced and unbalanced data. The tool which allows this is the inverse of the variance-covariance matrix which is given for all designs with equal cell sizes. The inverse is also obtained for several elementary models with unequal cell sizes. These inverses together with a new method for obtaining the likelihood equations are then used to consider the maximum-likelihood estimators. It is noted that in most cases these estimators are usually not linear combinations of the sufficient statistics. Possibilities for certain estimators which are closely kin to maximum-likelihood estimators are also considered.en
dc.format.extent103 leavesen
dc.format.mediumelectronicen
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.rightsThis thesis was part of a retrospective digitization project authorized by the Texas A&M University Libraries. Copyright remains vested with the author(s). It is the user's responsibility to secure permission from the copyright holder(s) for re-use of the work beyond the provision of Fair Use.en
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subject.lcshPoultry Science (Nutrition)en
dc.titleA new approach to the estimation of variance componentsen
dc.typeThesisen
thesis.degree.disciplineStatisticsen
thesis.degree.grantorTexas A&M Universityen
thesis.degree.nameDoctor of Philosophyen
thesis.degree.levelDoctoralen
dc.type.genredissertationsen
dc.type.materialtexten
dc.format.digitalOriginreformatted digitalen
dc.publisher.digitalTexas A&M University. Libraries


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