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The mean and standard deviation of the distribution of group assembly sums
dc.contributor.authorDwyer, Paul S. (Paul Sumner)en_US
dc.date.accessioned2006-09-11T16:23:11Z
dc.date.available2006-09-11T16:23:11Z
dc.date.issued1964-12en_US
dc.identifier.citationDwyer, Paul S.; (1964). "The mean and standard deviation of the distribution of group assembly sums." Psychometrika 29(4): 397-408. <http://hdl.handle.net/2027.42/45717>en_US
dc.identifier.issn1860-0980en_US
dc.identifier.issn0033-3123en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/45717
dc.description.abstractAn interesting problem in linear programming is the group assembly problem which is mathematically equivalent to the general transportation problem of economics. Computer programs designed for the determination of exact and approximate optimal group assemblies have been available for some time. This paper presents formulas for the mean and squared standard deviation of the distribution of all possible group assembly sums. Computational techniques are presented and the results are related to those of the analysis of variance of a k -factor problem with n levels of each factor.en_US
dc.format.extent547366 bytes
dc.format.extent3115 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherSpringer-Verlag; Psychometric Societyen_US
dc.subject.otherAssessment, Testing and Evaluationen_US
dc.subject.otherPsychologyen_US
dc.subject.otherPsychometricsen_US
dc.subject.otherStatistical Theory and Methodsen_US
dc.subject.otherStatistics for Social Science, Behavorial Science, Education, Public Policy, and Lawen_US
dc.titleThe mean and standard deviation of the distribution of group assembly sumsen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelPsychologyen_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumUniversity of Michigan, USAen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/45717/1/11336_2005_Article_BF02289606.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1007/BF02289606en_US
dc.identifier.sourcePsychometrikaen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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