Properties of composites sampling procedures

dc.contributor.authorElder, Robert S.en
dc.contributor.committeechairMyers, Raymond H.en
dc.contributor.committeememberHinkelmann, Klaus H.en
dc.contributor.committeememberThompson, William O.en
dc.contributor.committeememberReynolds, Marion R. Jr.en
dc.contributor.committeememberArnold, Jesse C.en
dc.contributor.departmentStatisticsen
dc.date.accessioned2014-03-14T21:18:30Zen
dc.date.adate2012-09-08en
dc.date.available2014-03-14T21:18:30Zen
dc.date.issued1977-11-05en
dc.date.rdate2012-09-08en
dc.date.sdate2012-09-08en
dc.description.abstractIn a composite sampling procedure initial samples (increments) are drawn from a lot and physically mixed to form composite samples. Subsamples are then taken from these composite samples and tested to determine the lot quality, usually the lot mean, μ<sub>x</sub>. Composite sampling procedures typically are employed with bulk materials, for which high testing costs preclude estimation of μ<sub>x</sub> using the arithmetic average of values from several individually tested increments. Because of the physical averaging that occurs when increments are mixed to form composite samples, it is possible to estimate μ<sub>x</sub> with specified precision with greater economy using a composite sampling procedure than using a noncompositing procedure. This dissertation extends and interprets the work of Brown and Fisher on modeling procedures that involve subsampling mixtures of sampled material. Models are developed for sampling from segmented or nonsegmented lots, allowing for more than one finite composite, testing error, within-increment variability, or two subsampling stages. The result of each model is a formula expressing the variance of the estimator of μ<sub>x</sub> in terms of model parameters. Each such formula is contrasted with the corresponding formula derived from the customarily employed random effects linear model.en
dc.description.degreePh. D.en
dc.format.extentiv, 163 leavesen
dc.format.mediumBTDen
dc.format.mimetypeapplication/pdfen
dc.identifier.otheretd-09082012-040246en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-09082012-040246/en
dc.identifier.urihttp://hdl.handle.net/10919/39310en
dc.language.isoenen
dc.publisherVirginia Techen
dc.relation.haspartLD5655.V856_1977.E44.pdfen
dc.relation.isformatofOCLC# 21263327en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject.lccLD5655.V856 1977.E44en
dc.subject.lcshSamplingen
dc.titleProperties of composites sampling proceduresen
dc.typeDissertationen
dc.type.dcmitypeTexten
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
Loading...
Thumbnail Image
Name:
LD5655.V856_1977.E44.pdf
Size:
4.91 MB
Format:
Adobe Portable Document Format
Description: