Optimal Blocking for Three Treatments and BIBD Robustness - Two Problems in Design Optimality

Simple item page
dc.contributor.authorParvu, Valentinen
dc.contributor.committeechairMorgan, John P.en
dc.contributor.committeememberVining, G. Geoffreyen
dc.contributor.committeememberSpitzner, Dan J.en
dc.contributor.committeememberHinkelmann, Klaus H.en
dc.contributor.committeememberSmith, Eric P.en
dc.contributor.departmentStatisticsen
dc.date.accessioned2014-03-14T20:19:41Zen
dc.date.adate2004-12-03en
dc.date.available2014-03-14T20:19:41Zen
dc.date.issued2004-11-29en
dc.date.rdate2004-12-03en
dc.date.sdate2004-12-03en
dc.description.abstractDesign optimality plays a central role in the area of statistical experimental design. In general, problems in design optimality are composed of two vital, but separable, components. One of these is determining conditions under which a design is optimal (such as criterion bounds, values of design parameters, or special structure in the information matrix). The other is construction of designs satisfying those conditions. Most papers deal with either optimality conditions, or design construction in accordance with desired combinatorial properties, but not both. This dissertation determines optimal designs for three treatments in the one-way and multi-way heterogeneity settings, first proving optimality through a series of bounding arguments, then applying combinatorial techniques for their construction. Among the results established are optimality with respect to the well known E and A criteria. A- and E-optimal block designs and row-column designs with three treatments are found, for any parameter set. E-optimal hyperrectangles with three treatments are also found, for any parameter set. Systems of distinct representatives theory is used for the construction of optimal designs. Efficiencies relative to optimal criterion values are used to determine robustness of block designs against loss of a small number of blocks. Nonisomorphic bal anced incomplete block designs are ranked based on their robustness. A complete list of most robust BIBDs for v ≤ 10, r ≤ 15 is compiled.en
dc.description.degreePh. D.en
dc.identifier.otheretd-12032004-163822en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-12032004-163822/en
dc.identifier.urihttp://hdl.handle.net/10919/29895en
dc.publisherVirginia Techen
dc.relation.haspartdissertation.pdfen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectblock designsen
dc.subjectrobustnessen
dc.subjectrow-column designsen
dc.subjectE-optimalityen
dc.subjectA-optimalityen
dc.titleOptimal Blocking for Three Treatments and BIBD Robustness - Two Problems in Design Optimalityen
dc.typeDissertationen
thesis.degree.disciplineStatisticsen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.leveldoctoralen
thesis.degree.namePh. D.en

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
dissertation.pdf
Size:
794.18 KB
Format:
Adobe Portable Document Format
Download

Collections

Doctoral Dissertations