The design of optimal incomplete multivariate normal samples

dc.contributor.advisorHocking, Ronald R.
dc.contributor.advisorOxspring, H. Hollis
dc.contributor.committeeMemberMcMahon, J. Timothy
dc.contributor.committeeMemberOtto, Gordon H.
dc.creatorMarx, Donald Lee
dc.date.accessioned2022-01-10T13:46:27Z
dc.date.available2022-01-10T13:46:27Z
dc.date.issued1974
dc.description.abstractCriteria for the design of multivariate data collection procedures are developed. The design objective is to determine the minimum cost allocation of resources for gathering data while satisfying certain precision specifications for point estimation. Of primary concern is the cost reducing potential of making incomplete sets of observations. The multivariate normal distribution is assumed, and estimation is based on the principle of maximum likelihood. The development of appropriate statistics for estimating elements of the population mean and covariance matrix is presented. The asymptotic properties of these statistics in a certain class of problems described as nested samples are considered in determining the optimum allocation of resources. Exact moments of the point estimators in the special case of one complete and one incomplete set of observations are derived. These are compared with the asymptotic expressions. The resource allocation problem is presented as a non-linear programming problem. The solution procedure is exemplified by simulating the incomplete data design and analysis in estimating coefficients in a six variable multinormal regression model. The precision of estimates and the cost of collecting the data are compared with several complete data analysis situations.
dc.description.departmentBusiness, C. T. Bauer College of
dc.format.digitalOriginreformatted digital
dc.format.mimetypeapplication/pdf
dc.identifier.other13645596
dc.identifier.urihttps://hdl.handle.net/10657/8448
dc.language.isoen
dc.rightsThis item is protected by copyright but is made available here under a claim of fair use (17 U.S.C. §107) for non-profit research and educational purposes. Users of this work assume the responsibility for determining copyright status prior to reusing, publishing, or reproducing this item for purposes other than what is allowed by fair use or other copyright exemptions. Any reuse of this item in excess of fair use or other copyright exemptions requires express permission of the copyright holder.
dc.titleThe design of optimal incomplete multivariate normal samples
dc.type.dcmiText
dc.type.genreThesis
thesis.degree.collegeCollege of Business Administration
thesis.degree.departmentBusiness Administration, College of
thesis.degree.disciplineBusiness Administration
thesis.degree.grantorUniversity of Houston
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy in Business Administration
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