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dc.contributor.advisorBarr, D.R.
dc.contributor.authorWalls, William Hammond
dc.date.accessioned2012-11-16T19:14:23Z
dc.date.available2012-11-16T19:14:23Z
dc.date.issued1977-03
dc.identifier.urihttp://hdl.handle.net/10945/18074
dc.description.abstractAnalysts conducting experiments must frequently deal with situations in which data is incomplete or missing. This creates problems that can seriously affect classical hypothesis testing by introducing extraneous terras into the hypothesis in a complicated way. A technique exists that allows an analyst to determine precisely which experimental terms are actually present in a proposed hypothesis and what that hypothesis would actually be testing if employed. This paper examines the mathematics underlying the technique and applies the theory to a widely used data analysis computer package. A computer program is presented to facilitate implementation of the method.en_US
dc.description.urihttp://archive.org/details/determinationofh1094518074
dc.language.isoen_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.titleDetermination of hypothesis testability in linear statistical modelsen_US
dc.typeThesisen_US
dc.contributor.secondreaderRichards, F.R.
dc.contributor.corporateNaval Postgraduate School
dc.contributor.schoolNaval Postgraduate School
dc.contributor.departmentOperations Research
etd.thesisdegree.nameM.S. in Operations Researchen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineOperations Researchen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
dc.description.distributionstatementApproved for public release; distribution is unlimited.


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