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Discriminant analysis with missing data
dc.contributor.advisor | Smith, W. B. | |
dc.contributor.advisor | Rollins, J. | |
dc.creator | Bohannon, Tommy R. | |
dc.date.accessioned | 2020-08-21T22:00:51Z | |
dc.date.available | 2020-08-21T22:00:51Z | |
dc.date.issued | 1976 | |
dc.identifier.uri | https://hdl.handle.net/1969.1/DISSERTATIONS-614145 | |
dc.description | Vita. | en |
dc.description.abstract | A procedure is proposed as a solution to the problem of constructing a classification rule based on samples which contain incomplete vectors. Simulation studies are made comparing this procedure to the standard procedure of ignoring these incomplete observations in the construction of the classification rule. The comparisons are made on the basis of the probability of misclassification. | en |
dc.format.extent | ix, 95 leaves ; | en |
dc.format.medium | electronic | en |
dc.format.mimetype | application/pdf | |
dc.language.iso | eng | |
dc.rights | This 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.uri | http://rightsstatements.org/vocab/InC/1.0/ | |
dc.subject | Discriminant analysis | en |
dc.subject | Multivariate analysis | en |
dc.subject | Major statistics | en |
dc.subject.classification | 1976 Dissertation B676 | |
dc.subject.lcsh | Discriminant analysis | en |
dc.subject.lcsh | Multivariate analysis | en |
dc.title | Discriminant analysis with missing data | en |
dc.type | Thesis | en |
thesis.degree.grantor | Texas A&M University | en |
thesis.degree.name | Doctor of Philosophy | en |
dc.type.genre | dissertations | en |
dc.type.material | text | en |
dc.format.digitalOrigin | reformatted digital | en |
dc.publisher.digital | Texas A&M University. Libraries | |
dc.identifier.oclc | 2691378 |
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