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Statistical modeling of bivariate data
dc.contributor.advisor | Emanuel Parzen | |
dc.creator | Woodfield, Terry Joe | |
dc.date.accessioned | 2020-08-21T21:37:43Z | |
dc.date.available | 2020-08-21T21:37:43Z | |
dc.date.issued | 1982 | |
dc.identifier.uri | https://hdl.handle.net/1969.1/DISSERTATIONS-394854 | |
dc.description | Typescript (photocopy). | en |
dc.description.abstract | A technique for modeling bivariate data that is based on the theory of orthogonal expansions in a separable Hilbert space is examined. A new nonparametric density estimation procedure is developed using an information criterion and is shown to be equivalent to least squares estimation of a density when the criterion function is computed with respect to the empirical distribution function. Computer programs are presented that implement the procedure for the univariate and bivariate cases. Examples utilizing these programs are given and comparisons made to existing density estimation techniques. | en |
dc.format.extent | xi, 260 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 | Statistics | en |
dc.subject.classification | 1982 Dissertation W887 | |
dc.subject.lcsh | Multivariate analysis | en |
dc.subject.lcsh | Hilbert space | en |
dc.title | Statistical modeling of bivariate data | en |
dc.type | Thesis | en |
thesis.degree.discipline | Philosophy | en |
thesis.degree.grantor | Texas A&M University | en |
thesis.degree.name | Doctor of Philosophy | en |
thesis.degree.name | Ph. D. in Philosophy | en |
thesis.degree.level | Doctorial | en |
dc.contributor.committeeMember | Longnecker, Michael | |
dc.contributor.committeeMember | Smith, William B. | |
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 | 10347688 |
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